Sumit Handa

515 citations
16 papers · 291 · h-index 10

Impact in

  • Ecology top 10%
    • Bacteriophages and microbial interactions
    • Microbial Community Ecology and Physiology
    • Biochemical Acid Research Studies

Papers in

    • Genomics and Phylogenetic Studies 6
    • RNA and protein synthesis mechanisms 3
    • Plant biochemistry and biosynthesis 3
    • Biochemical and Molecular Research 2
    • Bacteriophages and microbial interactions 5
    • Microbial Community Ecology and Physiology 3

Sumit Handa

16 papers receiving 282 citations

Peers

Sumit Handa
Comparison fields: 5 of 54
  • Ecology 126
  • Biochemistry 30
  • Molecular Biology 244
  • Endocrinology 13
  • Clinical Biochemistry 16
Replace Marc Schaffer with:
Marc Schaffer Germany
Alena Aliashkevich Sweden
Xuesong Dong Japan
Heinz Baur Switzerland
Agnes Abadjieva Bulgaria
John C. Kennell United States
Ming‐Te Yang Taiwan
Fareha Razvi United States
Margit Pedersen Denmark
Travis H. Tani United States
Sumit Handa relative to Marc Schaffer Germany Marc Schaffer's profile →
Citations per field
00.5×4.3×
Marc Schaffer · 1×
Citations per year

Countries citing papers authored by Sumit Handa

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Handa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201757
2 201752
3 201549
4 201519
5 201619
6 201817
7 201516
8 201613
9 201811
10 201311
11 20207
12 20196
13 20125
14 20104
15 20253
16 20222

About Sumit Handa

Sumit Handa is a scholar working on Molecular Biology, Ecology, Biochemistry, Pharmacology and Plant Science, having authored 16 papers that have together received 291 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Bacteriophages and microbial interactions (5 papers), RNA and protein synthesis mechanisms (3 papers), Plant biochemistry and biosynthesis (3 papers), Microbial Community Ecology and Physiology (3 papers), Biochemical Acid Research Studies (3 papers), Biochemical and Molecular Research (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Ecology (126 citations), Biochemistry (30 citations), Molecular Biology (244 citations), Endocrinology (13 citations) and Clinical Biochemistry (16 citations). Sumit Handa has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Partho Ghosh, Jeff F. Miller, David J. Merkler, Diego Arambula, Elizabeth Czornyj, Blair G. Paul, David L. Valentine, Leonid Breydo, Sarah C. Bagby and Brian C. Thomas. Their work appears in journals such as Nucleic Acids Research, Protein Expression and Purification, FEBS Open Bio, Nature Microbiology and The Journal of Physical Chemistry B.

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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