Shobhit Bhansali

1.1k citations
25 papers · 772 indexed · h-index 16
Topics
Pancreatic function and diabetes (9 papers)Metabolism, Diabetes, and Cancer (7 papers)Diabetes Treatment and Management (6 papers)
Partner nations
IndiaUnited StatesSweden

In The Last Decade

Shobhit Bhansali

25 papers receiving 732 citations

Peers

Shobhit Bhansali
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 382
  • Surgery 222
  • Genetics 154
  • Molecular Biology 153
  • Epidemiology 122
Replace Kan Sun with:
Kan Sun China
Richard Paisey United Kingdom
Luciana Moreira Lima Brazil
Shokoufeh Bonakdaran Iran
Torben Pottgießer Germany
Mieczysław Walczak Poland
Weijun Gu China
Shaoda Lin China
Barbara Głowińska‐Olszewska Poland
Mensud Hatunic Ireland
Shobhit Bhansali relative to Kan Sun China Kan Sun's profile →
Citations per field
00.5×1.5×2.2×
Kan Sun · 1×
Citations per year

Countries citing papers authored by Shobhit Bhansali

Since Specialization
Citations

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

Fields of papers citing papers by Shobhit Bhansali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shobhit Bhansali

This figure shows the co-authorship network connecting the top 25 collaborators of Shobhit Bhansali. A scholar is included among the top collaborators of Shobhit Bhansali 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 Shobhit Bhansali. Shobhit Bhansali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 2
4 23
5 18
6 16
7 14
8 28
9 8
10 18
11 26
12 86
13 24
14 11
15 87
16 105
17 57
18 25
19 15
20 26

About Shobhit Bhansali

Shobhit Bhansali is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine and Toxicology, having authored 25 papers that have together received 772 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (382 citations), Genetics (154 citations) and Occupational Therapy (28 citations). Shobhit Bhansali has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Anil Bhansali, Pinaki Dutta, M. Ravikiran, Rama Walia, Naresh Sachdeva, Sanjay Kumar Bhadada, JS Thakur, Neelam Marwaha, Ashish Jain and Petrilla Jayaprakash. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Scientific Reports.

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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