Jon P. Gockerman
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 33
- Oncology 36
- Cancer Treatment and Pharmacology 9
- 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)Journal of Clinical Oncology (14 papers)Cancer (10 papers)Leukemia Research (5 papers)Journal of Thoracic Oncology (5 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jon P. Gockerman
127 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 124
- Hematology 1.0k
- Genetics 833
- Oncology 1.2k
- Pathology and Forensic Medicine 764
- Immunology 792
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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 314 | |
| 2 | 1984 | 230 | |
| 3 | 2007 | 201 | |
| 4 | 2003 | 181 | |
| 5 | 2011 | 178 | |
| 6 | 2007 | 144 | |
| 7 | 2012 | 137 | |
| 8 | 2018 | 134 | |
| 9 | 2004 | 128 | |
| 10 | 2011 | 120 | |
| 11 | 2011 | 110 | |
| 12 | 2003 | 102 | |
| 13 | 2011 | 102 | |
| 14 | 1980 | 98 | |
| 15 | 1989 | 96 | |
| 16 | 1964 | 80 | |
| 17 | 1994 | 77 | |
| 18 | 2004 | 66 | |
| 19 | 2009 | 66 | |
| 20 | 1986 | 62 |
About Jon P. Gockerman
Jon P. Gockerman is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Hematology and Pulmonary and Respiratory Medicine, having authored 129 papers that have together received 4.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Chronic Lymphocytic Leukemia Research (27 papers), Lung Cancer Treatments and Mutations (15 papers), Acute Myeloid Leukemia Research (15 papers), Immunodeficiency and Autoimmune Disorders (10 papers), Cancer Treatment and Pharmacology (9 papers), CNS Lymphoma Diagnosis and Treatment (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (833 citations), Oncology (1.2k citations), Pathology and Forensic Medicine (764 citations) and Immunology (792 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, F. Leonard Johnson and Luciano Dalla‐Pozza. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer, Leukemia Research and Journal of Thoracic 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.