Jonathan Kish
- Water Science and Technology top 5%
- Oncology top 10%
- Cancer Treatment and Pharmacology 9
- Cancer Immunotherapy and Biomarkers 7
- Hematology top 10%
- Acute Myeloid Leukemia Research 7
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Chronic Lymphocytic Leukemia Research 7
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- Lung Cancer Treatments and Mutations 10
- Advanced Breast Cancer Therapies 10
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- Economic and Financial Impacts of Cancer 8
- Co-authors
- Sean F. AltekruseBruce A. FeinbergMandi YuAntoinette Percy‐LaurryAjeet GajraLisa R. W. PlanoMaribeth L. GidleySamir M. Elmir
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jonathan Kish
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 130
- Water Science and Technology 210
- Oncology 413
- Health, Toxicology and Mutagenesis 198
- Hematology 135
- Genetics 107
Countries citing papers authored by Jonathan Kish
This map shows the geographic impact of Jonathan Kish'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 Kish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kish more than expected).
Fields of papers citing papers by Jonathan Kish
This network shows the impact of papers produced by Jonathan Kish. 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 Kish. The network helps show where Jonathan Kish may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Kish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 78 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 0 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 7 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 14 | |
| 16 | 2014 | 167 | |
| 17 | 2013 | 35 | |
| 18 | 2011 | 64 | |
| 19 | 2009 | 133 | |
| 20 | 2009 | 39 |
About Jonathan Kish
Jonathan Kish is a scholar working on Genetics, Hematology, Oncology, Health Informatics and Pulmonary and Respiratory Medicine, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Lung Cancer Treatments and Mutations (10 papers), Advanced Breast Cancer Therapies (10 papers), Cancer Treatment and Pharmacology (9 papers), Economic and Financial Impacts of Cancer (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Acute Myeloid Leukemia Research (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). The work is most often cited by research in Water Science and Technology (210 citations), Oncology (413 citations), Health, Toxicology and Mutagenesis (198 citations), Hematology (135 citations) and Genetics (107 citations). Jonathan Kish has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sean F. Altekruse, Bruce A. Feinberg, Mandi Yu, Antoinette Percy‐Laurry, Ajeet Gajra, Lisa R. W. Plano, Maribeth L. Gidley, Samir M. Elmir, Lora E. Fleming and Tomoyuki Shibata. Their work appears in journals such as Journal of Clinical Oncology, Blood, Future Oncology, Value in Health and Advances in Therapy.
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.