Kith Pradhan
- Cognitive Neuroscience top 1%
- Neural and Behavioral Psychology Studies 7
- Functional Brain Connectivity Studies 6
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- Neurotransmitter Receptor Influence on Behavior 6
- Psychiatry and Mental health top 1%
- Attention Deficit Hyperactivity Disorder 5
- Biological Psychiatry top 5%
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- Acute Myeloid Leukemia Research 21
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- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
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- T-cell and Retrovirus Studies 5
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- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Nora D. VolkowJoanna S. FowlerGene‐Jack WangChristopher WongFrank TelangJean LoganYeming MaJames M. Swanson
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Kith Pradhan
61 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cognitive Neuroscience 1.5k
- Cellular and Molecular Neuroscience 1.2k
- Psychiatry and Mental health 978
- Endocrine and Autonomic Systems 397
- Biological Psychiatry 98
Countries citing papers authored by Kith Pradhan
This map shows the geographic impact of Kith Pradhan'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 Kith Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kith Pradhan more than expected).
Fields of papers citing papers by Kith Pradhan
This network shows the impact of papers produced by Kith Pradhan. 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 Kith Pradhan. The network helps show where Kith Pradhan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kith Pradhan, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 52 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 19 | |
| 11 | Case Fatality Rate of Cancer Patients with COVID-19 in a New York Hospital Systembreakdown → | 2020 | 521 |
| 12 | 2020 | 16 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 60 | |
| 15 | 2017 | 34 | |
| 16 | 2017 | 0 | |
| 17 | 2017 | 48 | |
| 18 | 2014 | 215 | |
| 19 | 2011 | 1 | |
| 20 | 2008 | 13 |
About Kith Pradhan
Kith Pradhan is a scholar working on Hematology, Genetics, Cognitive Neuroscience, Toxicology and Immunology, having authored 68 papers that have together received 4.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Neural and Behavioral Psychology Studies (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Functional Brain Connectivity Studies (6 papers), T-cell and Retrovirus Studies (5 papers), Attention Deficit Hyperactivity Disorder (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Cellular and Molecular Neuroscience (1.2k citations), Psychiatry and Mental health (978 citations), Endocrine and Autonomic Systems (397 citations) and Biological Psychiatry (98 citations). Kith Pradhan has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Nora D. Volkow, Joanna S. Fowler, Gene‐Jack Wang, Christopher Wong, Frank Telang, Jean Logan, Yeming Ma, James M. Swanson, Millard Jayne and Amit Verma. Their work appears in journals such as Blood, NeuroImage, Clinical Cancer Research, Blood Advances and Proceedings of the National Academy of Sciences.
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.