World's Best Scientists 2026 revealed!
Award Badge
Mathematics
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 74 212 179 122 98 145 29145

Margaret S. Pepe publications per year

The chart shows the history of publications by Margaret S. Pepe between 1988 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Margaret S. Pepe published across 34 years, from 1988 to 2021, averaging 6.5 papers a year. Output peaked at 15 publications in 2013. 4 of the 220 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1988 to 2021. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 2013. 1988: 1 publication 1989: 6 publications 1990: 7 publications 1991: 7 publications 1992: 10 publications 1993: 7 publications 1994: 6 publications 1995: 6 publications 1996: 1 publication 1997: 10 publications 1998: 6 publications 1999: 7 publications 2000: 8 publications 2001: 4 publications 2002: 5 publications 2003: 8 publications 2004: 9 publications 2005: 10 publications 2006: 5 publications 2007: 9 publications 2008: 9 publications 2009: 10 publications 2010: 5 publications 2011: 6 publications 2012: 4 publications 2013: 15 publications 2014: 7 publications 2015: 8 publications 2016: 4 publications 2017: 7 publications 2018: 8 publications 2019: 1 publication 2020: 2 publications 2021: 2 publications
1988 2021

220 publications in total across all disciplines

View publications per year as a table
Margaret S. Pepe: publications per year, 1988 to 2021
Year Publications
1988 1
1989 6
1990 7
1991 7
1992 10
1993 7
1994 6
1995 6
1996 1
1997 10
1998 6
1999 7
2000 8
2001 4
2002 5
2003 8
2004 9
2005 10
2006 5
2007 9
2008 9
2009 10
2010 5
2011 6
2012 4
2013 15
2014 7
2015 8
2016 4
2017 7
2018 8
2019 1
2020 2
2021 2
Total 220
Download as CSV

Margaret S. Pepe publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Margaret S. Pepe sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 142–146 publications, is where this scientist sits. 42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 145 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112 145
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

Margaret S. Pepe D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Margaret S. Pepe sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 74 D-Index, is where this scientist sits. 30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 74 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18 74
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award

Overview

Margaret S. Pepe is affiliated with the Fred Hutchinson Cancer Research Center in the United States. The center is known for its contributions to cancer research, and professionals associated with it often focus on epidemiology, biostatistics, and clinical investigation.

Despite the absence of specific records on published papers, co-authors, or detailed research topics, the association with this institution suggests involvement in cancer-related studies, likely with a focus on translating research findings into clinical applications.

There is no available data on frequent publication venues, book publications, fields of study, or specific topics tied to Margaret S. Pepe, which limits the ability to elaborate on particular research interests or thematic areas.

No awards or recognitions have been recorded, and there is no indication of the scientist being deceased, so all references are in present tense.

Best Publications

  • Time-Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker

    Patrick J. Heagerty;Thomas Lumley;Margaret S. Pepe

  • Continual reassessment method: a practical design for phase 1 clinical trials in cancer.

    John O'Quigley;Margaret Pepe;Lloyd Fisher

  • Phases of Biomarker Development for Early Detection of Cancer

    Margaret Sullivan Pepe;Ruth Etzioni;Ziding Feng;John D. Potter

  • Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic, Prognostic, or Screening Marker

    Margaret Sullivan Pepe;Holly Janes;Gary Longton;Wendy Leisenring

  • Kaplan—meier, marginal or conditional probability curves in summarizing competing risks failure time data?

    Margaret Sullivan Pepe;Motomi Mori

  • Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design

    Margaret S. Pepe;Ziding Feng;Holly Janes;Patrick M. Bossuyt

  • A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data

    Margaret Sullivan Pepe;Garnet L Anderson

  • Net Reclassification Indices for Evaluating Risk Prediction Instruments: A Critical Review

    Kathleen F. Kerr;Zheyu Wang;Holly Janes;Robyn L. McClelland

  • Comparisons of Predictive Values of Binary Medical Diagnostic Tests for Paired Designs

    Wendy Leisenring;Wendy Leisenring;Todd Alono;Todd Alono;Margaret Sullivan Pepe;Margaret Sullivan Pepe

  • Partial AUC estimation and regression.

    Lori E. Dodd;Margaret S. Pepe

  • Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study

    Joann G Elmore;Raymond L Barnhill;David E Elder;Gary M Longton

  • Gender Gap in Cystic Fibrosis Mortality

    Margaret Rosenfeld;Robert Davis;Stacey FitzSimmons;Margaret Pepe

  • Combining diagnostic test results to increase accuracy.

    Margaret Sullivan Pepe;Mary Lou Thompson

  • Weighted Kaplan-Meier statistics: a class of distance tests for censored survival data.

    Margaret Sullivan Pepe;Thomas R. Fleming

  • Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates

    Margaret Sullivan Pepe;Jianwen Cai

  • Estimation and Comparison of Receiver Operating Characteristic Curves

    Margaret S. Pepe;Gary M. Longton;Holly Janes

  • Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve

    Margaret Sullivan Pepe;Margaret Sullivan Pepe;Tianxi Cai;Gary Longton

  • Combining several screening tests: optimality of the risk score.

    Martin W. McIntosh;Margaret Sullivan Pepe;Margaret Sullivan Pepe

  • A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection.

    Yutaka Yasui;Margaret S. Pepe;Mary Lou Thompson;Bao-Ling Adam

  • Integrating the Predictiveness of a Marker with Its Performance as a Classifier

    Margaret S. Pepe;Margaret S. Pepe;Ziding Feng;Ying Huang;Gary M. Longton

  • A mean score method for missing and auxiliary covariate data in regression models

    Marie Reilly;Margaret Sullivan Pepe

  • An Interpretation for the ROC Curve and Inference Using GLM Procedures

    Margaret Sullivan Pepe

  • Inference for Events with Dependent Risks in Multiple Endpoint Studies

    Margaret Sullivan Pepe

  • Assessing the Value of Risk Predictions by Using Risk Stratification Tables

    Holly Janes;Margaret S. Pepe;Wen Gu

Frequent Co-Authors

Ziding Feng
Ziding Feng Fred Hutchinson Cancer Research Center
Joann G. Elmore
Joann G. Elmore University of California, Los Angeles
Rainer Storb
Rainer Storb Fred Hutchinson Cancer Research Center
Todd A. Alonzo
Todd A. Alonzo University of Southern California
Claudio Anasetti
Claudio Anasetti Fred Hutchinson Cancer Research Center
Wendy Leisenring
Wendy Leisenring Fred Hutchinson Cancer Research Center
Anna N. A. Tosteson
Anna N. A. Tosteson Dartmouth College
Christopher I. Li
Christopher I. Li Fred Hutchinson Cancer Research Center
Robert P. Witherspoon
Robert P. Witherspoon Fred Hutchinson Cancer Research Center
Keith M. Sullivan
Keith M. Sullivan Duke University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Mathematics, exploring related online degrees can open diverse career opportunities. Degrees like an MBA or a Master's in Marketing complement mathematical skills with business acumen, making graduates highly competitive.

If you're considering further education, many institutions offer shortest online MBA programs that allow you to advance quickly without sacrificing quality. These programs are designed for busy professionals eager to enhance leadership and analytical skills.

For those focused on blending quantitative expertise with market trends, a master's degree in marketing can offer well-paying job prospects and valuable insights into consumer behavior and data analysis.

Additionally, some students prefer accelerated options. The one year MBA programs stand out by delivering comprehensive curricula in a condensed timeframe, perfect for those eager to enter the workforce quickly.

To maximize flexibility, look for programs that accept transfer credits for online MBA programs. This can reduce both time and cost, making it easier to tailor your education path to your needs.

Best Scientists Citing Margaret S. Pepe

Trending Scientists

Recently Published Articles