Tushar Pathare
Impact in
-
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Forensic and Genetic Research
- Race, Genetics, and Society
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
- Genetics 8
- Genomics and Rare Diseases 4
- Genetic Associations and Epidemiology 3
- Forensic and Genetic Research 1
- Co-authors
- Najeeb Syed (1 shared paper)Rashid Al‐Ali (1 shared paper)Nagarajan Kathiresan (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of Computational Science (1 paper)Genome Medicine (1 paper)The Lancet Oncology (1 paper)npj Genomic Medicine (1 paper)
- Partner nations
- QatarUnited StatesUnited Kingdom
In The Last Decade
Tushar Pathare
11 papers receiving 360 citations
Tushar Pathare's Hit Papers
Peers
Comparison fields: 5 of 62
- Genetics 154
- Pharmacology 40
- Pulmonary and Respiratory Medicine 66
- Health Informatics 4
- Health Information Management 14
Countries citing papers authored by Tushar Pathare
This map shows the geographic impact of Tushar Pathare'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 Tushar Pathare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tushar Pathare more than expected).
Fields of papers citing papers by Tushar Pathare
This network shows the impact of papers produced by Tushar Pathare. 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 Tushar Pathare. The network helps show where Tushar Pathare may publish in the future.
Co-authors
The 3 scholars most cited alongside Tushar Pathare, 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 | Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk Hit paper breakdown → | 2023 | 103 |
| 2 | 2021 | 57 | |
| 3 | 2015 | 49 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 24 | |
| 7 | 2022 | 24 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 6 |
About Tushar Pathare
Tushar Pathare is a scholar working on Genetics, Health Information Management, Pharmacology, Physiology and Molecular Biology, having authored 11 papers that have together received 365 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Genetic Associations and Epidemiology (3 papers), Bioinformatics and Genomic Networks (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Forensic and Genetic Research (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Genetics (154 citations), Pharmacology (40 citations), Pulmonary and Respiratory Medicine (66 citations), Health Informatics (4 citations) and Health Information Management (14 citations). Tushar Pathare has collaborated with scholars based in Qatar, United States and United Kingdom. Frequent co-authors include Najeeb Syed, Rashid Al‐Ali and Nagarajan Kathiresan. Their work appears in journals such as Nature Communications, Journal of Computational Science, Genome Medicine, The Lancet Oncology and npj Genomic Medicine.
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.