Swati Biswas

2.4k citations
64 papers · 1.8k indexed · h-index 21
Topics
Genetic Associations and Epidemiology (25 papers)Genetic Mapping and Diversity in Plants and Animals (16 papers)Genetic and phenotypic traits in livestock (12 papers)
Partner nations
United StatesIndiaCanada

In The Last Decade

Swati Biswas

62 papers receiving 1.8k citations

Peers

Swati Biswas
Comparison fields: 5 of 117
  • Molecular Biology 910
  • Oncology 645
  • Genetics 322
  • Cancer Research 295
  • Pulmonary and Respiratory Medicine 149
Replace Isaac Yi Kim with:
Isaac Yi Kim United States
Andrew Stone United Kingdom
Walter Rayford United States
Chan Zeng United States
Jeff Simko United States
Peter J. Rosen United States
Leonard Reyno United States
André N. Vis Netherlands
Nathan Enas United States
Fengmin Zhao United States
Swati Biswas relative to Isaac Yi Kim United States Isaac Yi Kim's profile →
Citations per field
00.5×1.5×
Isaac Yi Kim · 1×
Citations per year

Countries citing papers authored by Swati Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Swati Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Biswas

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Biswas. A scholar is included among the top collaborators of Swati Biswas 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 Swati Biswas. Swati Biswas 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 6
3 3
4 0
5 1
6 1
7 2
8 0
9 4
10 54
11 98
12 61
13 77
14 37
15 290
16 72
17 40
18 124
19 2
20
On incorporating heterogeneity in linkage analysis
1

About Swati Biswas

Swati Biswas is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (25 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Genetic and phenotypic traits in livestock (12 papers). The work is most often cited by research in Oncology (645 citations), Cancer Research (295 citations) and Statistics and Probability (123 citations). Swati Biswas has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Michael L. Freeman, Carlos L. Arteaga, Harold L. Moses, Anna Chytil, Tapasi Rana, Shili Lin, Teresa C. Dugger, Marta Guix, Cammie Rinehart and Donald A. Berry. Their work appears in journals such as Journal of Clinical Investigation, Journal of the American Statistical Association and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026