Hansa Thakkar
- Nephrology top 1%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine
- Co-authors
- Christopher P. PriceR. G. EDWARDSDavid NewmanAnders GrubbMartin WilkieThomas E. WhiteAndrew RodinRichard N. Clayton
- Topics
- Chronic Kidney Disease and Diabetes (3 papers)Ovarian function and disorders (2 papers)Retinal Diseases and Treatments (2 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaAnnals of the New York Academy of Sciences
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Hansa Thakkar
23 papers receiving 979 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Nephrology 476
- Molecular Biology 198
- Endocrinology, Diabetes and Metabolism 174
- Pulmonary and Respiratory Medicine 137
- Cardiology and Cardiovascular Medicine 122
Countries citing papers authored by Hansa Thakkar
This map shows the geographic impact of Hansa Thakkar'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 Hansa Thakkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hansa Thakkar more than expected).
Fields of papers citing papers by Hansa Thakkar
This network shows the impact of papers produced by Hansa Thakkar. 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 Hansa Thakkar. The network helps show where Hansa Thakkar may publish in the future.
Co-authorship network of co-authors of Hansa Thakkar
This figure shows the co-authorship network connecting the top 25 collaborators of Hansa Thakkar. A scholar is included among the top collaborators of Hansa Thakkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hansa Thakkar. Hansa Thakkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 40 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 29 | |
| 9 | 17 | |
| 10 | 18 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 33 | |
| 14 | 46 | |
| 15 | Measurement of the relative in vivo plasma clearances and t1/2 of human beta-2M, RBP and alpha-1-M in the pig | 2 |
| 16 | Serum cystatin C measured by automated immunoassay: A more sensitive marker of changes in GFR than serum creatininebreakdown → | 524 |
| 17 | 155 | |
| 18 | 47 | |
| 19 | 15 | |
| 20 | 10 |
About Hansa Thakkar
Hansa Thakkar is a scholar working on Nephrology, Ophthalmology and Reproductive Medicine, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (3 papers), Ovarian function and disorders (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Nephrology (476 citations), Reproductive Medicine (114 citations) and Endocrinology, Diabetes and Metabolism (174 citations). Hansa Thakkar has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Christopher P. Price, R. G. EDWARDS, David Newman, Anders Grubb, Martin Wilkie, Thomas E. White, Andrew Rodin, Richard N. Clayton, Norman Taylor and David Newman. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Annals of the New York 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.