Suman Dhanda

809 citations
47 papers · 631 · h-index 17

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 8
    • Gut microbiota and health 4
    • Peptidase Inhibition and Analysis 15

Suman Dhanda

45 papers receiving 622 citations

Peers

Suman Dhanda
Comparison fields: 5 of 87
  • Food Science 215
  • Nutrition and Dietetics 147
  • Biotechnology 82
  • Molecular Biology 320
  • Animal Science and Zoology 42
Replace Yingchun Zhang with:
Yingchun Zhang China
Fernando Rivero‐Pino Spain
Chiara Zanoni Italy
Athanasios Karapetsas Greece
Meimei Wang China
Daniel Martínez‐Maqueda Spain
Martina Bartolomei Italy
Bincy Baby United Arab Emirates
Andrea Polo Italy
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Citations per field
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Citations per year

Countries citing papers authored by Suman Dhanda

Since Specialization
Citations

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

Fields of papers citing papers by Suman Dhanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200861
2 201856
3 201346
4 202044
5 201627
6 200726
7 201926
8 201525
9 201524
10 201222
11 201521
12 201720
13 201219
14 201419
15 201619
16 202117
17 201917
18 200616
19 201414
20 201714

About Suman Dhanda

Suman Dhanda is a scholar working on Molecular Biology, Oncology, Food Science, Cellular and Molecular Neuroscience and Nutrition and Dietetics, having authored 47 papers that have together received 631 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (15 papers), Probiotics and Fermented Foods (15 papers), Neuropeptides and Animal Physiology (12 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Microbial Metabolites in Food Biotechnology (8 papers), Enzyme Production and Characterization (6 papers), Gut microbiota and health (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). The work is most often cited by research in Food Science (215 citations), Nutrition and Dietetics (147 citations), Biotechnology (82 citations), Molecular Biology (320 citations) and Animal Science and Zoology (42 citations). Suman Dhanda has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Jasbir Singh, Tejinder Pal Khaket, Hari Singh, Nikolas J. Hodges, M. Graham, T.P. Singh, R. C. Upadhyay, Talwinder Singh, Jitender Kumar Bhardwaj and Sunita Dalal. Their work appears in journals such as Process Biochemistry, International Journal of Biological Macromolecules, Molecular Biology Reports, Bioorganic Chemistry and Medicinal Chemistry 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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