Gerald Wertheim

4.4k citations
83 papers · 1.5k · h-index 23

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Acute Myeloid Leukemia Research 30
    • Chronic Myeloid Leukemia Treatments 12
    • CAR-T cell therapy research 7

Gerald Wertheim

80 papers receiving 1.5k citations

Peers

Gerald Wertheim
Comparison fields: 5 of 105
  • Hematology 405
  • Oncology 523
  • Genetics 136
  • Immunology 257
  • Cancer Research 165
Replace Yao-Qi Huang with:
Yao-Qi Huang United States
Amy S. Duffield United States
Thierry Lavabre‐Bertrand France
Steven J. Kussick United States
Endi Wang United States
Mark Klinger United States
Yu-Chung Yang United States
Melania Tesio France
Youzhong Yuan United States
Eric M. Bindels Netherlands
Gerald Wertheim relative to Yao-Qi Huang United States Yao-Qi Huang's profile →
Citations per field
00.5×6.3×
Yao-Qi Huang · 1×
Citations per year

Countries citing papers authored by Gerald Wertheim

Since Specialization
Citations

This map shows the geographic impact of Gerald Wertheim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gerald Wertheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Wertheim more than expected).

Fields of papers citing papers by Gerald Wertheim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald Wertheim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gerald Wertheim. The network helps show where Gerald Wertheim may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerald Wertheim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerald Wertheim Line = papers co-authored together Gerald Wertheim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016192
2 2002168
3 201782
4 202065
5 202159
6 201658
7 202050
8 201447
9 201846
10 201744
11 201434
12 200933
13 202032
14 200032
15 202129
16 200029
17 201828
18 201828
19 201328
20 201924

About Gerald Wertheim

Gerald Wertheim is a scholar working on Hematology, Oncology, Molecular Biology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Acute Lymphoblastic Leukemia research (20 papers), Cancer Genomics and Diagnostics (13 papers), Chronic Myeloid Leukemia Treatments (12 papers), Immune Cell Function and Interaction (9 papers), Epigenetics and DNA Methylation (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Hematology (405 citations), Oncology (523 citations), Genetics (136 citations), Immunology (257 citations) and Cancer Research (165 citations). Gerald Wertheim has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Lewis A. Chodosh, Adam Bagg, George K. Belka, Jennifer Hartman, Robert Boxer, James Z. Wang, Edward J. Gunther, Martin Carroll, Shannon L. Maude and Vijay Bhoj. Their work appears in journals such as Blood, Leukemia, Pediatric Blood & Cancer, Blood Advances and Haematologica.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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