Jyotsna Mehta

22 papers receiving 713 citations

Peers

Jyotsna Mehta
Comparison fields: 5 of 83
  • Family Practice 19
  • Transplantation 21
  • Pharmacology 67
  • Economics and Econometrics 207
  • Nephrology 47
Replace Nilesh J. Samani with:
Nilesh J. Samani United Kingdom
Ruixuan Jiang United States
Anne Oberguggenberger Austria
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Citations per year

Countries citing papers authored by Jyotsna Mehta

Since Specialization
Citations

This map shows the geographic impact of Jyotsna Mehta'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 Jyotsna Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyotsna Mehta more than expected).

Fields of papers citing papers by Jyotsna Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyotsna Mehta. 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 Jyotsna Mehta. The network helps show where Jyotsna Mehta may publish in the future.

Co-authors

The 25 scholars most cited alongside Jyotsna Mehta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jyotsna Mehta Line = papers co-authored together Jyotsna Mehta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009209
2 200976
3 201073
4 200860
5 200756
6 201056
7 201352
8 202150
9 200746
10 201423
11 200822
12 20125
13 20205
14 20203
15
Patients' Perceptions Of Generic Medications Although most Americans appreciate the cost-saving value of generics, few are eager to use generics themselves.
20093
16 20122
17 20202
18
Second cancers and non-autologous bone marrow transplantation for haematological malignancies: Single centre experience of 883 patients.
19982
19 20121
20 20121

About Jyotsna Mehta

Jyotsna Mehta is a scholar working on Hematology, Genetics, Epidemiology, Economics and Econometrics and Oncology, having authored 24 papers that have together received 750 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Pharmaceutical Economics and Policy (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Family Practice (19 citations), Transplantation (21 citations), Pharmacology (67 citations), Economics and Econometrics (207 citations) and Nephrology (47 citations). Jyotsna Mehta has collaborated with scholars based in United States, New Zealand and Norway. Frequent co-authors include Michael A. Fischer, William H. Shrank, Emily R. Cox, Niteesh K. Choudhry, Jerry Avorn, Sebastian Schneeweiß, Wolfgang C. Winkelmayer­, Philip S. Wang, Jennifer C. Lee and Daniel H. Solomon. Their work appears in journals such as Blood, Value in Health, Journal of the American Society of Nephrology, ClinicoEconomics and Outcomes Research and American Journal of Transplantation.

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.

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