Alka Bansal

800 citations
22 papers · 426 indexed · h-index 9
Topics
Diabetes Treatment and Management (3 papers)Antibiotic Resistance in Bacteria (2 papers)Bacillus and Francisella bacterial research (2 papers)
Journals
Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaDiabetes
Partner nations
IndiaUnited StatesJapan

In The Last Decade

Alka Bansal

22 papers receiving 409 citations

Peers

Alka Bansal
Comparison fields: 5 of 83
  • Molecular Biology 139
  • Genetics 129
  • Endocrinology, Diabetes and Metabolism 106
  • Surgery 102
  • Immunology 94
Replace Samir K. Nath with:
Samir K. Nath United States
Fuxing Tang United States
Mitsugu Yamada Japan
Cécile Galanth France
Tadashi Makino Japan
Shigeo Takemura Japan
Tsunehiko Fukuda Japan
Gisèle Le Bras France
Eduardo Prieto Argentina
Jan S. Kramer Germany
Alka Bansal relative to Samir K. Nath United States Samir K. Nath's profile →
Citations per field
00.5×3.3×
Samir K. Nath · 1×
Citations per year

Countries citing papers authored by Alka Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Alka Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alka Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Alka Bansal. A scholar is included among the top collaborators of Alka Bansal 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 Alka Bansal. Alka Bansal 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 3
2 1
3 1
4 1
5 2
6 2
7 2
8 2
9 14
10 3
11 5
12 55
13 13
14 34
15 44
16 21
17 87
18 8
19 119
20 4

About Alka Bansal

Alka Bansal is a scholar working on Molecular Medicine, Dermatology and Toxicology, having authored 22 papers that have together received 426 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Bacillus and Francisella bacterial research (2 papers). The work is most often cited by research in Pharmaceutical Science (55 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Genetics (129 citations). Alka Bansal has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Aditya Mohan Kaushal, Vinod Arora, Richard Cummings, Dennis M. Zaller, Gerald T. Nepom, Song Guo Zheng, Laurence B. Peterson, Linda S. Wicker, Andrew Herman and Daniel C. Freed. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Diabetes.

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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