Jonathan M. Gerber

2.9k citations
59 papers · 1.7k · h-index 19

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%

Papers in

    • Acute Myeloid Leukemia Research 24
    • Hematopoietic Stem Cell Transplantation 7
    • Chronic Myeloid Leukemia Treatments 6
    • Connexins and lens biology 4

Jonathan M. Gerber

52 papers receiving 1.7k citations

Peers

Jonathan M. Gerber
Comparison fields: 5 of 107
  • Hematology 419
  • Genetics 144
  • Developmental Neuroscience 54
  • Oncology 349
  • Cancer Research 161
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan M. Gerber

Since Specialization
Citations

This map shows the geographic impact of Jonathan M. Gerber'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 Jonathan M. Gerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Gerber more than expected).

Fields of papers citing papers by Jonathan M. Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Gerber. 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 Jonathan M. Gerber. The network helps show where Jonathan M. Gerber may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan M. Gerber, 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 Jonathan M. Gerber Line = papers co-authored together Jonathan M. Gerber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011363
2 2012176
3 1998157
4 2009121
5 2013109
6 201597
7 201386
8 201069
9 201168
10 201759
11 199437
12 201929
13 201427
14 202126
15 201325
16 201822
17 199721
18 202320
19 201619
20 201518

About Jonathan M. Gerber

Jonathan M. Gerber is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Hematopoietic Stem Cell Transplantation (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Connexins and lens biology (4 papers) and Urological Disorders and Treatments (4 papers). The work is most often cited by research in Hematology (419 citations), Genetics (144 citations), Developmental Neuroscience (54 citations), Oncology (349 citations) and Cancer Research (161 citations). Jonathan M. Gerber has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Richard J. Jones, Srinivasan Yegnasubramanian, Ralph Brehm, Brandy Perkins, Gabriel Ghiaur, Michael C. Haffner, David Esopi, William G. Nelson, Milada S. Vala and Julia Heinrich. Their work appears in journals such as Blood, PLoS ONE, Oncotarget, Leukemia Research and Journal of Clinical Oncology.

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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