Ryan W. Jacobs
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 36
- Chronic Lymphocytic Leukemia Research 36
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- Lymphoma Diagnosis and Treatment 25
- Co-authors
- Nilanjan Ghosh (12 shared papers)Adetola A. Kassim (3 shared papers)Madan Jagasia (3 shared papers)Bipin Savani (3 shared papers)Brian G. Engelhardt (3 shared papers)Bei Hu (9 shared papers)Emma P. Das-Gupta (2 shared papers)Robert Knobler (2 shared papers)
- Journals
- Blood (10 papers)Clinical Cancer Research (5 papers)Hematological Oncology (5 papers)Transplantation and Cellular Therapy (4 papers)Haematologica (4 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Ryan W. Jacobs
57 papers receiving 1.6k citations
Ryan W. Jacobs's Hit Papers
Peers
Comparison fields: 5 of 79
- Genetics 944
- Pathology and Forensic Medicine 636
- Hematology 376
- Oncology 450
- Immunology 333
Countries citing papers authored by Ryan W. Jacobs
This map shows the geographic impact of Ryan W. Jacobs'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 Ryan W. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan W. Jacobs more than expected).
Fields of papers citing papers by Ryan W. Jacobs
This network shows the impact of papers produced by Ryan W. Jacobs. 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 Ryan W. Jacobs. The network helps show where Ryan W. Jacobs may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan W. Jacobs, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 249 | |
| 2 | 2021 | 180 | |
| 3 | 2018 | 138 | |
| 4 | 2020 | 96 | |
| 5 | 2012 | 94 | |
| 6 | Nivolumab+AVD in Advanced-Stage Classic Hodgkin’s Lymphoma Hit paper breakdown → | 2024 | 94 |
| 7 | 2013 | 76 | |
| 8 | 2019 | 72 | |
| 9 | 2018 | 65 | |
| 10 | 2021 | 60 | |
| 11 | 2022 | 55 | |
| 12 | 2018 | 49 | |
| 13 | 2020 | 46 | |
| 14 | 2018 | 34 | |
| 15 | 2020 | 34 | |
| 16 | 2023 | 31 | |
| 17 | 2019 | 27 | |
| 18 | 2014 | 26 | |
| 19 | 2019 | 25 | |
| 20 | 2023 | 17 |
About Ryan W. Jacobs
Ryan W. Jacobs is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (36 papers), Lymphoma Diagnosis and Treatment (25 papers), CAR-T cell therapy research (8 papers), Chronic Myeloid Leukemia Treatments (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Advanced Breast Cancer Therapies (6 papers), Acute Lymphoblastic Leukemia research (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Genetics (944 citations), Pathology and Forensic Medicine (636 citations), Hematology (376 citations), Oncology (450 citations) and Immunology (333 citations). Ryan W. Jacobs has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Nilanjan Ghosh, Adetola A. Kassim, Madan Jagasia, Bipin Savani, Brian G. Engelhardt, Bei Hu, Emma P. Das-Gupta, Robert Knobler, Nina Worel and Stacey Goodman. Their work appears in journals such as Blood, Clinical Cancer Research, Hematological Oncology, Transplantation and Cellular Therapy 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.