Jonathan Kish
Impact in
- Water Science and Technology top 5%
- Fecal contamination and water quality
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- Climate Change and Health Impacts
- Water Treatment and Disinfection
Papers in
- Co-authors
- Sean F. Altekruse (3 shared papers)Bruce A. Feinberg (32 shared papers)Mandi Yu (1 shared paper)Antoinette Percy‐Laurry (1 shared paper)Ajeet Gajra (19 shared papers)Maribeth L. Gidley (5 shared papers)Tomoyuki Shibata (5 shared papers)Helena M. Solo‐Gabriele (5 shared papers)
- Journals
- Journal of Clinical Oncology (13 papers)Blood (12 papers)Future Oncology (5 papers)Advances in Therapy (4 papers)Value in Health (4 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jonathan Kish
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Water Science and Technology 222
- Health, Toxicology and Mutagenesis 206
- Hematology 117
- Oncology 257
- Genetics 83
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-authors
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
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 170 | |
| 2 | 2009 | 140 | |
| 3 | 2010 | 123 | |
| 4 | 2020 | 84 | |
| 5 | 2011 | 68 | |
| 6 | 2014 | 67 | |
| 7 | 2018 | 55 | |
| 8 | Estimating the Costs of Therapy in Patients with Relapsed and/or Refractory Multiple Myeloma: A Model Framework. | 2015 | 53 |
| 9 | 2010 | 45 | |
| 10 | 2009 | 43 | |
| 11 | 2016 | 37 | |
| 12 | 2013 | 35 | |
| 13 | 2020 | 30 | |
| 14 | 2014 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2012 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2016 | 14 |
About Jonathan Kish
Jonathan Kish is a scholar working on Oncology, Genetics, Hematology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Cancer Treatment and Pharmacology (9 papers), Advanced Breast Cancer Therapies (8 papers), Economic and Financial Impacts of Cancer (7 papers), Acute Myeloid Leukemia Research (7 papers), Lung Cancer Treatments and Mutations (7 papers), CAR-T cell therapy research (6 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Water Science and Technology (222 citations), Health, Toxicology and Mutagenesis (206 citations), Hematology (117 citations), Oncology (257 citations) and Genetics (83 citations). Jonathan Kish has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Sean F. Altekruse, Bruce A. Feinberg, Mandi Yu, Antoinette Percy‐Laurry, Ajeet Gajra, Maribeth L. Gidley, Tomoyuki Shibata, Helena M. Solo‐Gabriele, Lora E. Fleming and Samir M. Elmir. Their work appears in journals such as Journal of Clinical Oncology, Blood, Future Oncology, Advances in Therapy and Value in Health.
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.