Rupal Satish Bhatt

2.8k citations
60 papers · 2.1k · h-index 25

Impact in

Papers in

Rupal Satish Bhatt

57 papers receiving 2.1k citations

Peers

Rupal Satish Bhatt
Comparison fields: 5 of 93
  • Cancer Research 472
  • Pulmonary and Respiratory Medicine 815
  • Oncology 603
  • Immunology 235
  • Molecular Biology 780
Replace Toshi Menju with:
Toshi Menju Japan
Makoto Sohda Japan
Minglei Zhuo China
Yerong Hu China
Yun Jung Choi South Korea
Mónica Garcı́a-Barros United States
Teruo Inamoto Japan
Karyn Bouhana United States
Michael A. Augello United States
Ann M. McNulty United States
Rupal Satish Bhatt relative to Toshi Menju Japan Toshi Menju's profile →
Citations per field
00.5×1.6×
Toshi Menju · 1×
Citations per year

Countries citing papers authored by Rupal Satish Bhatt

Since Specialization
Citations

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

Fields of papers citing papers by Rupal Satish Bhatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rupal Satish Bhatt. 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 Rupal Satish Bhatt. The network helps show where Rupal Satish Bhatt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015290
2 2014132
3 2015120
4 1999109
5 202088
6 201569
7 201164
8 201062
9 201859
10 202059
11 201052
12 201249
13 201647
14 200746
15 201343
16 201543
17 202041
18 202139
19 200938
20 201336

About Rupal Satish Bhatt

Rupal Satish Bhatt is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Molecular Biology and Aging, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (23 papers), Renal and related cancers (7 papers), Prostate Cancer Treatment and Research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer, Lipids, and Metabolism (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Cancer Research (472 citations), Pulmonary and Respiratory Medicine (815 citations), Oncology (603 citations), Immunology (235 citations) and Molecular Biology (780 citations). Rupal Satish Bhatt has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Michael B. Atkins, Sabina Signoretti, Toni K. Choueiri, David F. McDermott, David C. Alsop, Vikas P. Sukhatme, Marcella Callea, Jiaxi Song, Xiaoen Wang and Gordon James Freeman. Their work appears in journals such as Clinical Cancer Research, Cancer, Clinical Genitourinary Cancer, Cancer Immunology Research and Annals of Oncology.

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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