Mukul S. Bansal

14.5k citations
47 papers · 987 indexed · h-index 16
Topics
Genomics and Phylogenetic Studies (40 papers)Genetic diversity and population structure (19 papers)Microbial Community Ecology and Physiology (8 papers)
Partner nations
United StatesIsraelIndia

In The Last Decade

Mukul S. Bansal

43 papers receiving 977 citations

Peers

Mukul S. Bansal
Comparison fields: 5 of 98
  • Molecular Biology 818
  • Genetics 472
  • Plant Science 270
  • Ecology 148
  • Ecology, Evolution, Behavior and Systematics 138
Replace Sudhindra R. Gadagkar with:
Sudhindra R. Gadagkar United States
Einat Hazkani‐Covo Israel
Glenn Hickey United States
Laura A. Salter United States
Regula Rupp Germany
Quinn Snell United States
Vincent Berry France
Lars Arvestad Sweden
Rezwana Reaz Bangladesh
M. Shel Swenson United States
Mukul S. Bansal relative to Sudhindra R. Gadagkar United States Sudhindra R. Gadagkar's profile →
Citations per field
00.5×1.5×2.3×
Sudhindra R. Gadagkar · 1×
Citations per year

Countries citing papers authored by Mukul S. Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Mukul S. Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukul S. Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Mukul S. Bansal. A scholar is included among the top collaborators of Mukul S. 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 Mukul S. Bansal. Mukul S. 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 1
2 0
3 0
4 3
5 1
6 2
7 0
8 15
9 2
10 18
11 1
12 9
13 48
14 11
15 19
16 45
17 62
18 60
19 11
20 11

About Mukul S. Bansal

Mukul S. Bansal is a scholar working on Genetics, Molecular Biology and Plant Science, having authored 47 papers that have together received 987 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (40 papers), Genetic diversity and population structure (19 papers) and Microbial Community Ecology and Physiology (8 papers). The work is most often cited by research in Genetics (472 citations), Molecular Biology (818 citations) and Paleontology (72 citations). Mukul S. Bansal has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Manolis Kellis, Oliver Eulenstein, J. Gordon Burleigh, Eric J. Alm, André Wehe, David Fernández‐Baca, Yi-Chieh Wu, Soumya Kundu, Matthew D. Rasmussen and Todd Vision. Their work appears in journals such as Bioinformatics, PLoS ONE and Genome Research.

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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