Snigdha Guha

19 total papers · 1.2k total citations
12 papers, 908 citations indexed

About

Snigdha Guha is a scholar working on Molecular Biology, Animal Science and Zoology and Physiology. According to data from OpenAlex, Snigdha Guha has authored 12 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Animal Science and Zoology and 3 papers in Physiology. Recurrent topics in Snigdha Guha's work include Protein Hydrolysis and Bioactive Peptides (8 papers), Meat and Animal Product Quality (3 papers) and Biochemical effects in animals (3 papers). Snigdha Guha is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (8 papers), Meat and Animal Product Quality (3 papers) and Biochemical effects in animals (3 papers). Snigdha Guha collaborates with scholars based in United States, India and Canada. Snigdha Guha's co-authors include Kaustav Majumder, Subhadeep Chakrabarti, Heena Sharma, Gaurav Kr Deshwal, Priyanka Singh Rao, Sophie Alvarez, Yoshinori Mine, Catherine J. Paul, Sohom Chakrabarty and Saugata Hazra and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Nutrients.

In The Last Decade

Snigdha Guha

12 papers receiving 896 citations

Hit Papers

Food-Derived Bioactive Pe... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Snigdha Guha 699 264 170 160 153 12 908
Wenlin Yu 601 0.9× 187 0.7× 174 1.0× 134 0.8× 124 0.8× 12 837
Marta Dziuba 707 1.0× 278 1.1× 210 1.2× 89 0.6× 124 0.8× 18 862
Cristian De Gobba 635 0.9× 287 1.1× 210 1.2× 163 1.0× 110 0.7× 25 881
Alfredo Vázquez 659 0.9× 176 0.7× 198 1.2× 129 0.8× 65 0.4× 26 902
Adrián Sánchez 586 0.8× 171 0.6× 198 1.2× 128 0.8× 65 0.4× 5 709
Daniel Martínez‐Maqueda 827 1.2× 271 1.0× 202 1.2× 216 1.4× 198 1.3× 22 1.0k
Seiichi Mizuno 642 0.9× 167 0.6× 165 1.0× 209 1.3× 117 0.8× 15 746
Lourdes Santiago‐López 456 0.7× 396 1.5× 154 0.9× 60 0.4× 135 0.9× 30 721
Chamila Nimalaratne 470 0.7× 311 1.2× 162 1.0× 159 1.0× 173 1.1× 16 1.0k
Samurailatpam Sanjukta 586 0.8× 501 1.9× 128 0.8× 92 0.6× 213 1.4× 11 916

Countries citing papers authored by Snigdha Guha

Since Specialization
Citations

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

Fields of papers citing papers by Snigdha Guha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Snigdha Guha

This figure shows the co-authorship network connecting the top 25 collaborators of Snigdha Guha. A scholar is included among the top collaborators of Snigdha Guha 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 Snigdha Guha. Snigdha Guha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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