Purvish M. Parikh
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations 12
- Cancer Research top 5%
- Breast Cancer Treatment Studies 13
- Cancer Genomics and Diagnostics 10
- Health Informatics top 5%
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments 12
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- Chronic Lymphocytic Leukemia Research 18
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- Acute Lymphoblastic Leukemia research 14
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- Lymphoma Diagnosis and Treatment 13
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- COVID-19 Clinical Research Studies 10
- Co-authors
- Alex Y. ChangNick ThatcherJoachim von PawelJosé Rodrigues PereiraTudor–Eliade CiuleanuSumitra ThongprasertKristine PembertonKevin Carroll
- Journals
- Journal of Clinical Oncology (15 papers)Blood (5 papers)Journal of Thoracic Oncology (5 papers)
- Partner nations
- IndiaPakistanUnited States
In The Last Decade
Purvish M. Parikh
149 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Oncology 2.6k
- Pulmonary and Respiratory Medicine 2.6k
- Cancer Research 587
- Health Informatics 38
- Hematology 302
Countries citing papers authored by Purvish M. Parikh
This map shows the geographic impact of Purvish M. Parikh'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 Purvish M. Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purvish M. Parikh more than expected).
Fields of papers citing papers by Purvish M. Parikh
This network shows the impact of papers produced by Purvish M. Parikh. 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 Purvish M. Parikh. The network helps show where Purvish M. Parikh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Purvish M. Parikh, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | Lung cancer immunotherapy: progress, pitfalls, and promisesbreakdown → | 2023 | 568 |
| 9 | 2023 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2009 | 63 | |
| 12 | 2008 | 13 | |
| 13 | 2008 | 31 | |
| 14 | 2007 | 2 | |
| 15 | 2006 | 144 | |
| 16 | 2006 | 9 | |
| 17 | 2003 | 3 | |
| 18 | 2003 | 32 | |
| 19 | 1998 | 12 | |
| 20 | 1988 | 8 |
About Purvish M. Parikh
Purvish M. Parikh is a scholar working on Health Informatics, Hematology, Genetics, Oncology and Modeling and Simulation, having authored 160 papers that have together received 4.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), Acute Lymphoblastic Leukemia research (14 papers), Breast Cancer Treatment Studies (13 papers), Lymphoma Diagnosis and Treatment (13 papers), Lung Cancer Treatments and Mutations (12 papers), Chronic Myeloid Leukemia Treatments (12 papers), Cancer Genomics and Diagnostics (10 papers) and COVID-19 Clinical Research Studies (10 papers). The work is most often cited by research in Oncology (2.6k citations), Pulmonary and Respiratory Medicine (2.6k citations), Cancer Research (587 citations), Health Informatics (38 citations) and Hematology (302 citations). Purvish M. Parikh has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Alex Y. Chang, Nick Thatcher, Joachim von Pawel, José Rodrigues Pereira, Tudor–Eliade Ciuleanu, Sumitra Thongprasert, Kristine Pemberton, Kevin Carroll, Venice Archer and E.H. Tan. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Thoracic Oncology, Leukemia Research and Cancer.
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.