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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 55 2241 2014 23 20 130 20686

Tamar Geiger publications per year

The chart shows the history of publications by Tamar Geiger between 2000 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tamar Geiger published across 27 years, from 2000 to 2026, averaging 16.6 papers a year. Output peaked at 225 publications in 2023. 39 of the 447 publications appeared in the last two years.

No. of publications
50 100 150 200
Bar chart. Horizontal axis: year, 2000 to 2026. Vertical axis: number of publications, 0 to 225. Peak 225 publications in 2023. 2000: 1 publication 2001: 0 publications 2002: 1 publication 2003: 0 publications 2004: 0 publications 2005: 1 publication 2006: 0 publications 2007: 1 publication 2008: 2 publications 2009: 1 publication 2010: 8 publications 2011: 5 publications 2012: 6 publications 2013: 9 publications 2014: 9 publications 2015: 15 publications 2016: 12 publications 2017: 7 publications 2018: 11 publications 2019: 16 publications 2020: 18 publications 2021: 12 publications 2022: 11 publications 2023: 225 publications 2024: 37 publications 2025: 38 publications 2026: 1 publication
2000 2026

447 publications in total across all disciplines

View publications per year as a table
Tamar Geiger: publications per year, 2000 to 2026
Year Publications
2000 1
2001 0
2002 1
2003 0
2004 0
2005 1
2006 0
2007 1
2008 2
2009 1
2010 8
2011 5
2012 6
2013 9
2014 9
2015 15
2016 12
2017 7
2018 11
2019 16
2020 18
2021 12
2022 11
2023 225
2024 37
2025 38
2026 1
Total 447
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Tamar Geiger publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Tamar Geiger sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 127–136 publications, is where this scientist sits. 47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47–56 publications 564+

This scientist: 130 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158 130
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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Tamar Geiger D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Tamar Geiger sits on this spectrum.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 54–55 D-Index, is where this scientist sits. 40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40–41 D-Index 145+

This scientist: 55 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116 55
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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Overview

Tamar Geiger is affiliated with Tel Aviv University in Israel and conducts research primarily in the fields of Biochemistry, Genetics and Molecular Biology, with a substantial focus on Medicine. Their work spans multiple subfields including Molecular Biology, Cancer Research, Oncology, Spectroscopy, and Immunology.

Tamar Geiger's research covers a range of topics, prominently featuring:

  • Cancer Genomics and Diagnostics
  • Advanced Proteomics Techniques and Applications
  • Cancer, Hypoxia, and Metabolism
  • RNA Research and Splicing
  • RNA Modifications and Cancer
  • Single-cell and Spatial Transcriptomics
  • Ferroptosis and Cancer Prognosis

The recent research output includes several peer-reviewed papers published primarily between 2020 and 2021, illustrating the scientist's involvement in cutting-edge molecular and cancer biology fields. Notable publications are:

  • Spatiotemporal Proteomic Analysis of Stress Granule Disassembly Using APEX Reveals Regulation by SUMOylation and Links to ALS Pathogenesis, 2020, Molecular Cell
  • Anti-tumour immunity induces aberrant peptide presentation in melanoma, 2020, Nature
  • PDZD8 interacts with Protrudin and Rab7 at ER-late endosome membrane contact sites associated with mitochondria, 2020, Nature Communications
  • Metastasis-Entrained Eosinophils Enhance Lymphocyte-Mediated Antitumor Immunity, 2021, Cancer Research
  • Proteomic patterns associated with response to breast cancer neoadjuvant treatment, 2020, Molecular Systems Biology

Tamar Geiger collaborates frequently with a core group of coauthors, including Gali Arad, Michal Harel, Anjana Shenoy, Iris Barshack, and Georgina D. Barnabas. These collaborations are reflected in joint publications and research efforts.

The scholar's research is disseminated in several venues, with the most frequent being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Nature Communications
  • Cell Reports
  • Nature Methods

Best Publications

  • The Perseus computational platform for comprehensive analysis of (prote)omics data.

    Stefka Tyanova;Tikira Temu;Pavel Sinitcyn;Arthur Carlson

  • Deep proteome and transcriptome mapping of a human cancer cell line

    Nagarjuna Nagaraj;Jacek R Wisniewski;Tamar Geiger;Juergen Cox

  • Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins

    Tamar Geiger;Anja Wehner;Christoph Schaab;Juergen Cox

  • Super-SILAC mix for quantitative proteomics of human tumor tissue

    Tamar Geiger;Juergen Cox;Pawel Ostasiewicz;Jacek R Wisniewski

  • Defining the transcriptome and proteome in three functionally different human cell lines

    Emma Lundberg;Linn Fagerberg;Daniel Klevebring;Ivan Matic

  • Deep and Highly Sensitive Proteome Coverage by LC-MS/MS Without Prefractionation

    Suman S. Thakur;Tamar Geiger;Bhaswati Chatterjee;Peter Bandilla

  • A Dynamic Interface between Vacuoles and Mitochondria in Yeast

    Yael Elbaz-Alon;Eden Rosenfeld-Gur;Vera Shinder;Anthony H. Futerman

  • Use of stable isotope labeling by amino acids in cell culture as a spike-in standard in quantitative proteomics

    Tamar Geiger;Jacek R Wisniewski;Juergen Cox;Sara Zanivan

  • Proteomics of Melanoma Response to Immunotherapy Reveals Mitochondrial Dependence

    Michal Harel;Rona Ortenberg;Rona Ortenberg;Siva Karthik Varanasi;Kailash Chandra Mangalhara

  • Tumor macrophages are pivotal constructors of tumor collagenous matrix.

    Ran Afik;Ehud Zigmond;Milena Vugman;Mordehay Klepfish

  • Proteomic maps of breast cancer subtypes

    Stefka Tyanova;Reidar Albrechtsen;Pauliina Kronqvist;Juergen Cox

  • Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality

    Livnat Jerby-Arnon;Nadja Pfetzer;Yedael Y. Waldman;Lynn McGarry

  • Proteomics on an Orbitrap Benchtop Mass Spectrometer Using All-ion Fragmentation

    Tamar Geiger;Juergen Cox;Matthias Mann

  • Initial Quantitative Proteomic Map of 28 Mouse Tissues Using the SILAC Mouse

    Tamar Geiger;Ana Velic;Boris Macek;Emma Lundberg

  • Lam6 Regulates the Extent of Contacts between Organelles

    Yael Elbaz-Alon;Michal Eisenberg-Bord;Vera Shinder;Sebastian Berthold Stiller

  • Analysis of High Accuracy, Quantitative Proteomics Data in the MaxQB Database

    Christoph Schaab;Tamar Geiger;Gabriele Stoehr;Juergen Cox

  • Solid tumor proteome and phosphoproteome analysis by high resolution mass spectrometry.

    Sara Zanivan;Florian Gnad;Sara A. Wickstrom;Tamar Geiger

  • Proteomic portrait of human breast cancer progression identifies novel prognostic markers.

    Tamar Geiger;Stephen F. Madden;William M. Gallagher;Juergen Cox

  • Metabolic Associations of Reduced Proliferation and Oxidative Stress in Advanced Breast Cancer

    Livnat Jerby;Lior Wolf;Carsten Denkert;Gideon Y Stein

  • Spatio-Temporal Proteomic Analysis of Stress Granule Disassembly Using APEX Reveals Regulation by SUMOylation and Links to ALS Pathogenesis

    Hagai Marmor Kollet;Aviad Siany;Nancy Kedersha;Naama Knafo

Frequent Co-Authors

Matthias Mann
Matthias Mann Max Planck Institute of Biochemistry
Michal Harel
Michal Harel Weizmann Institute of Science
Eytan Ruppin
Eytan Ruppin National Institutes of Health
Iris Barshack
Iris Barshack Sheba Medical Center
Jürgen Cox
Jürgen Cox Max Planck Society
Orna Elroy-Stein
Orna Elroy-Stein Tel Aviv University
Irit Sagi
Irit Sagi Weizmann Institute of Science
Alexander Levitzki
Alexander Levitzki Hebrew University of Jerusalem
Roded Sharan
Roded Sharan Tel Aviv University
Paolo Milani
Paolo Milani University of Milan

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