Jonathan M. Gerber
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
Papers in
- Hematology 27
- Acute Myeloid Leukemia Research 22
- Hematopoietic Stem Cell Transplantation 8
- Chronic Myeloid Leukemia Treatments 6
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- Connexins and lens biology 4
- Co-authors
- Richard J. Jones (11 shared papers)Srinivasan Yegnasubramanian (3 shared papers)Ralph Brehm (5 shared papers)Brandy Perkins (5 shared papers)Gabriel Ghiaur (3 shared papers)Michael C. Haffner (2 shared papers)William G. Nelson (2 shared papers)David Esopi (2 shared papers)
- Journals
- Blood (11 papers)Cancer (2 papers)Cell and Tissue Research (2 papers)Leukemia Research (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Jonathan M. Gerber
49 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Hematology 424
- Genetics 168
- Oncology 384
- Developmental Neuroscience 57
- Cancer Research 188
Countries citing papers authored by Jonathan M. Gerber
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
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.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 362 | |
| 2 | 2012 | 175 | |
| 3 | 1998 | 157 | |
| 4 | 2009 | 121 | |
| 5 | 2013 | 106 | |
| 6 | 2015 | 92 | |
| 7 | 2013 | 86 | |
| 8 | 2010 | 69 | |
| 9 | 2011 | 68 | |
| 10 | 2017 | 57 | |
| 11 | 1994 | 37 | |
| 12 | 2019 | 29 | |
| 13 | 2014 | 26 | |
| 14 | 2013 | 25 | |
| 15 | 2021 | 24 | |
| 16 | 2018 | 22 | |
| 17 | 1997 | 20 | |
| 18 | 2016 | 19 | |
| 19 | 2023 | 18 | |
| 20 | 2015 | 17 |
About Jonathan M. Gerber
Jonathan M. Gerber is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Immunology, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Chronic Myeloid Leukemia Treatments (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Connexins and lens biology (4 papers). The work is most often cited by research in Hematology (424 citations), Genetics (168 citations), Oncology (384 citations), Developmental Neuroscience (57 citations) and Cancer Research (188 citations). Jonathan M. Gerber has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Richard J. Jones, Srinivasan Yegnasubramanian, Ralph Brehm, Brandy Perkins, Gabriel Ghiaur, Michael C. Haffner, William G. Nelson, David Esopi, Milada S. Vala and Julia Heinrich. Their work appears in journals such as Blood, Cancer, Cell and Tissue Research, Leukemia Research and Oncotarget.
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.