World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
55
Citations
16996
World Ranking
1982
National Ranking
952

Anirban Basu publications per year

1981: 1 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publications 1999: 0 publications 2000: 1 publications 2001: 1 publications 2002: 4 publications 2003: 4 publications 2004: 6 publications 2005: 8 publications 2006: 7 publications 2007: 13 publications 2008: 11 publications 2009: 10 publications 2010: 13 publications 2011: 18 publications 2012: 11 publications 2013: 6 publications 2014: 12 publications 2015: 20 publications 2016: 20 publications 2017: 22 publications 2018: 31 publications 2019: 30 publications 2020: 27 publications 2021: 26 publications 2022: 25 publications 2023: 28 publications 2024: 22 publications 2025: 20 publications
1981 2025

398 publications in total across all disciplines

Anirban Basu publication distribution in Social Sciences and Humanities in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2027. The highlighted bar marks where Anirban Basu sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 339 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Anirban Basu D-index placement in Social Sciences and Humanities in 2027

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2027. The highlighted bar marks where Anirban Basu sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 55 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Overview

Anirban Basu is affiliated with the University of Washington in the United States. Their research spans multiple disciplines, primarily concentrating on medicine and economics, econometrics, and finance. The subfields of study they contribute to include economics and econometrics, general health professions, statistics and probability, genetics, and surgery.

Basu's main research topics encompass a range of health-related and economic evaluation areas. These include health systems, economic evaluations, quality of life, healthcare policy and management, hemoglobinopathies and related disorders, advanced causal inference techniques, iron metabolism and disorders, healthcare cost, quality, and practices, as well as prenatal screening and diagnostics.

The scientist has published frequently in several academic venues. Their most common publication outlets are:

  • Value in Health
  • Journal of Managed Care & Specialty Pharmacy
  • PLoS ONE
  • Health Economics
  • bioRxiv (Cold Spring Harbor Laboratory)

Basu has co-authored multiple papers with a set of frequent collaborators. Notable co-authors include Beth Devine, David L. Veenstra, Boshen Jiao, Josh J. Carlson, and Lotte Steuten.

Among recent papers associated with or relevant to their research interests are:

  • Value of Information Analysis for Research Decisions-An Introduction: Report 1 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force, 2020, published in Value in Health
  • Value of Information Analytical Methods: Report 2 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force, 2020, published in Value in Health
  • Lifetime medical costs attributable to sickle cell disease among nonelderly individuals with commercial insurance, 2022, published in Blood Advances
  • Regression Discontinuity Design, 2020, published in JAMA
  • How Does Cost-Effectiveness Analysis Inform Health Care Decisions?, 2021, published in The AMA Journal of Ethic

Best Publications

  • Recommendations for Conduct, Methodological Practices, and Reporting of Cost-effectiveness Analyses: Second Panel on Cost-Effectiveness in Health and Medicine

    Gillian D. Sanders;Peter J. Neumann;Anirban Basu;Dan W. Brock

  • Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling

    Joseph V. Terza;Anirban Basu;Paul J. Rathouz

  • Generalized Modeling Approaches to Risk Adjustment of Skewed Outcomes Data

    Willard G. Manning;Anirban Basu;John Mullahy

  • Projecting the Future Diabetes Population Size and Related Costs for the U.S.

    Elbert S. Huang;Anirban Basu;Michael J. O'Grady;James C. Capretta

  • Defining Elements of Value in Health Care-A Health Economics Approach: An ISPOR Special Task Force Report [3].

    Darius N. Lakdawalla;Jalpa A. Doshi;Louis P. Garrison;Charles E. Phelps

  • The M2-M5 brane system and a generalized Nahm's equation

    Anirban Basu;Jeffrey A. Harvey

  • Estimating the Medical Care Costs of Obesity in the United States: Systematic Review, Meta-Analysis, and Empirical Analysis

    David D. Kim;Anirban Basu;Anirban Basu

  • Estimating marginal and incremental effects on health outcomes using flexible link and variance function models.

    Anirban Basu;Paul J. Rathouz

  • Protective and vulnerability factors predicting new-onset depressive episode in a representative of U.S. adolescents.

    Benjamin W. Van Voorhees;David Paunesku;Sachiko A. Kuwabara;Anirban Basu

  • The effect of the Medicare Part D prescription benefit on drug utilization and expenditures.

    Wesley Yin;Anirban Basu;James X. Zhang;Atonu Rabbani

  • Health literacy as a predictor of follow-up after an abnormal Pap smear: a prospective study.

    Stacy Tessler Lindau;Anirban Basu;Sara A. Leitsch

  • HIGHLIGHTING DIFFERENCES BETWEEN CONDITIONAL AND UNCONDITIONAL QUANTILE REGRESSION APPROACHES THROUGH AN APPLICATION TO ASSESS MEDICATION ADHERENCE

    Bijan J. Borah;Anirban Basu

  • Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients.

    Anirban Basu;James J. Heckman;James J. Heckman;Salvador Navarro-Lozano;Sergio Urzua

  • Comparing alternative models: log vs Cox proportional hazard?

    Anirban Basu;Willard G. Manning;John Mullahy;John Mullahy

  • Value of information on preference heterogeneity and individualized care.

    Anirban Basu;David Meltzer

  • Implications of spillover effects within the family for medical cost-effectiveness analysis.

    Anirban Basu;David Meltzer

  • Risk Stratification for Sudden Cardiac Death A Plan for the Future

    Jeffrey J. Goldberger;Anirban Basu;Robin Boineau;Alfred E. Buxton

  • A Health Economics Approach to US Value Assessment Frameworks—Summary and Recommendations of the ISPOR Special Task Force Report [7]

    Louis P. Garrison;Peter J. Neumann;Richard J. Willke;Anirban Basu

  • Issues for the next generation of health care cost analyses.

    Anirban Basu;Willard G. Manning

  • Regression estimators for generic health-related quality of life and quality-adjusted life years.

    Anirban Basu;Andrea Manca

  • Value of Information Analysis for Research Decisions-An Introduction: Report 1 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force

    Elisabeth Fenwick;Lotte Steuten;Saskia Knies;Salah Ghabri

  • Comparative Cost Analysis of Housing and Case Management Program for Chronically Ill Homeless Adults Compared to Usual Care

    Anirban Basu;Romina Kee;David Buchanan;Laura S. Sadowski

Frequent Co-Authors

David O. Meltzer
David O. Meltzer University of Chicago
Scott D. Ramsey
Scott D. Ramsey Fred Hutchinson Cancer Research Center
Willard G. Manning
Willard G. Manning University of Chicago
Sean D. Sullivan
Sean D. Sullivan University of Washington
John Mullahy
John Mullahy University of Wisconsin–Madison
Peter J. Neumann
Peter J. Neumann University of Bern
Louis P. Garrison
Louis P. Garrison University of Washington
Tomas Philipson
Tomas Philipson University of Chicago
Mark Sculpher
Mark Sculpher University of York
Daniel Polsky
Daniel Polsky Johns Hopkins University

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