Jon P. Gockerman
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 38
- Chronic Lymphocytic Leukemia Research 30
- Hematology 34
- Acute Myeloid Leukemia Research 16
- Co-authors
- Joseph O. Moore (51 shared papers)Robert C. Bast (5 shared papers)Gregg A. Olsen (3 shared papers)W. P. Peters (3 shared papers)Jeffrey L. Johnson (4 shared papers)E.J. Shpall (1 shared paper)R B Jones (1 shared paper)John M. Allen (1 shared paper)
- Journals
- Blood (19 papers)Cancer (10 papers)Journal of Clinical Oncology (8 papers)Journal of the National Comprehensive Cancer Network (5 papers)Leukemia (5 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jon P. Gockerman
125 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 127
- Hematology 1.2k
- Genetics 1.1k
- Pathology and Forensic Medicine 1.1k
- Oncology 1.5k
- Immunology 886
Countries citing papers authored by Jon P. Gockerman
This map shows the geographic impact of Jon P. Gockerman'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 Jon P. Gockerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon P. Gockerman more than expected).
Fields of papers citing papers by Jon P. Gockerman
This network shows the impact of papers produced by Jon P. Gockerman. 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 Jon P. Gockerman. The network helps show where Jon P. Gockerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon P. Gockerman, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 324 | |
| 2 | 2010 | 283 | |
| 3 | 1984 | 257 | |
| 4 | 2007 | 253 | |
| 5 | 2011 | 208 | |
| 6 | 2003 | 184 | |
| 7 | 2007 | 158 | |
| 8 | 2018 | 157 | |
| 9 | 2011 | 147 | |
| 10 | 2012 | 147 | |
| 11 | 2004 | 137 | |
| 12 | 2011 | 122 | |
| 13 | 2003 | 116 | |
| 14 | 1980 | 108 | |
| 15 | 1989 | 103 | |
| 16 | 2011 | 103 | |
| 17 | 1964 | 90 | |
| 18 | 1991 | 88 | |
| 19 | 1994 | 87 | |
| 20 | 2004 | 76 |
About Jon P. Gockerman
Jon P. Gockerman is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Immunology, having authored 126 papers that have together received 5.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (37 papers), Chronic Lymphocytic Leukemia Research (30 papers), Acute Myeloid Leukemia Research (16 papers), Lung Cancer Treatments and Mutations (12 papers), Immunodeficiency and Autoimmune Disorders (11 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (8 papers) and Cancer Treatment and Pharmacology (7 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (1.1k citations), Pathology and Forensic Medicine (1.1k citations), Oncology (1.5k citations) and Immunology (886 citations). Jon P. Gockerman has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Joseph O. Moore, Robert C. Bast, Gregg A. Olsen, W. P. Peters, Jeffrey L. Johnson, E.J. Shpall, R B Jones, John M. Allen, Frederic T. Billings and A. Thomas Look. Their work appears in journals such as Blood, Cancer, Journal of Clinical Oncology, Journal of the National Comprehensive Cancer Network and Leukemia.
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.