Digantkumar Chapla

2.4k citations
50 papers · 1.5k · h-index 21

Impact in

Papers in

Digantkumar Chapla

48 papers receiving 1.5k citations

Peers

Digantkumar Chapla
Comparison fields: 5 of 93
  • Biotechnology 381
  • Nutrition and Dietetics 278
  • Organic Chemistry 417
  • Molecular Biology 886
  • Biomedical Engineering 479
Replace Jaiprakash G. Shewale with:
Jaiprakash G. Shewale India
Danica Mislovičová Slovakia
Jingyao Qu China
M.I. Khan India
Anna A. Kulminskaya Russia
Tetsuya Nakada Japan
Xin Cheng China
Emiliano Bedini Italy
Martin Willemoës Denmark
Haiquan Yang China
Digantkumar Chapla relative to Jaiprakash G. Shewale India Jaiprakash G. Shewale's profile →
Citations per field
00.5×9.8×
Jaiprakash G. Shewale · 1×
Citations per year

Countries citing papers authored by Digantkumar Chapla

Since Specialization
Citations

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

Fields of papers citing papers by Digantkumar Chapla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011251
2 2012145
3 2019141
4 2018112
5 201072
6 202061
7 201356
8 202249
9 202141
10 201739
11 202138
12 202133
13 202233
14 202433
15 202230
16 202030
17 202225
18 202324
19 201324
20 202323

About Digantkumar Chapla

Digantkumar Chapla is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Biomedical Engineering and Biotechnology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (31 papers), Carbohydrate Chemistry and Synthesis (20 papers), Biofuel production and bioconversion (11 papers), Galectins and Cancer Biology (9 papers), Enzyme Production and Characterization (9 papers), Proteoglycans and glycosaminoglycans research (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Microbial Metabolites in Food Biotechnology (6 papers). The work is most often cited by research in Biotechnology (381 citations), Nutrition and Dietetics (278 citations), Organic Chemistry (417 citations), Molecular Biology (886 citations) and Biomedical Engineering (479 citations). Digantkumar Chapla has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Amita Shah, Kelley W. Moremen, Datta Madamwar, Jeong‐Yeh Yang, Geert‐Jan Boons, Kunal Jain, Lin Liu, Jyoti Divecha, Tiehai Li and Na Wei. Their work appears in journals such as Glycobiology, Journal of the American Chemical Society, Nature Communications, Nature Chemistry and Angewandte Chemie International Edition.

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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