Sameer Doshi

1.4k citations
44 papers · 1.1k · h-index 18

Impact in

Papers in

Sameer Doshi

44 papers receiving 1.1k citations

Peers

Sameer Doshi
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 193
  • Hematology 125
  • Oncology 106
  • Genetics 37
  • Developmental Neuroscience 9
Replace Mark A. Ranalli with:
Mark A. Ranalli United States
Jennifer E. Visich United States
Rebecca A. Dumont United States
V. Nataf France
Yukari Muguruma Japan
Hiroko Kuwabara Japan
Viola Poeschel Germany
Liliana Franca Devizzi Italy
Klaus‐Peter Steuhl Germany
Jean Notis-McConarty United States
Sameer Doshi relative to Mark A. Ranalli United States Mark A. Ranalli's profile →
Citations per field
00.5×2×4×6×8.4×
Mark A. Ranalli · 1×
Citations per year

Countries citing papers authored by Sameer Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sameer Doshi, 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 Sameer Doshi Line = papers co-authored together Sameer Doshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016181
2 2011101
3 200480
4 201280
5 201072
6 200154
7 200453
8 201944
9 201641
10 201536
11 200830
12 201728
13 201227
14 201225
15 201522
16 200420
17 201019
18 201318
19 201318
20 202317

About Sameer Doshi

Sameer Doshi is a scholar working on Hematology, Radiology, Nuclear Medicine and Imaging, Statistics and Probability, Oncology and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (8 papers), Platelet Disorders and Treatments (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Bone health and treatments (3 papers), Statistical Methods in Clinical Trials (3 papers), Gastric Cancer Management and Outcomes (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (193 citations), Hematology (125 citations), Oncology (106 citations), Genetics (37 citations) and Developmental Neuroscience (9 citations). Sameer Doshi has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Andrew T. Chow, Juan José Pérez Ruixo, Min Zhu, Graham R. Jang, Christian Brandl, Jessica Johnson, Benjamin M. Wu, Mark C. Peterson, Liviawati Sutjandra and Wojciech Krzyżański. Their work appears in journals such as The Journal of Clinical Pharmacology, Clinical Pharmacokinetics, British Journal of Clinical Pharmacology, Journal of Pharmaceutical Sciences and Blood.

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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