Prosenjit Mondal

1.3k citations
47 papers · 962 indexed · h-index 18
Topics
Liver Disease Diagnosis and Treatment (7 papers)Pancreatic function and diabetes (6 papers)Cholesterol and Lipid Metabolism (5 papers)
Partner nations
IndiaUnited StatesSweden

In The Last Decade

Prosenjit Mondal

44 papers receiving 956 citations

Peers

Prosenjit Mondal
Comparison fields: 5 of 105
  • Molecular Biology 443
  • Surgery 234
  • Endocrinology, Diabetes and Metabolism 168
  • Physiology 116
  • Reproductive Medicine 103
Replace José R. Godoy with:
José R. Godoy Germany
Stéphanie Moreno France
Lin Wu China
Tadashi Ogishima Japan
Wang-Ni Tian United States
N Fleischer United States
Kim Baumann Germany
Yasumitsu Takata Japan
Xinyi Mu China
Cécile Cottet‐Rousselle France
Prosenjit Mondal relative to José R. Godoy Germany José R. Godoy's profile →
Citations per field
00.5×6.2×
José R. Godoy · 1×
Citations per year

Countries citing papers authored by Prosenjit Mondal

Since Specialization
Citations

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

Fields of papers citing papers by Prosenjit Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prosenjit Mondal

This figure shows the co-authorship network connecting the top 25 collaborators of Prosenjit Mondal. A scholar is included among the top collaborators of Prosenjit Mondal 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 Prosenjit Mondal. Prosenjit Mondal 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 0
2 2
3 6
4 3
5 15
6 5
7 8
8 21
9 4
10 0
11 18
12 9
13 23
14 20
15 13
16 81
17 172
18 93
19 4
20 6

About Prosenjit Mondal

Prosenjit Mondal is a scholar working on Aging, Biophysics and Parasitology, having authored 47 papers that have together received 962 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Pancreatic function and diabetes (6 papers) and Cholesterol and Lipid Metabolism (5 papers). The work is most often cited by research in Reproductive Medicine (103 citations), Endocrinology, Diabetes and Metabolism (168 citations) and Endocrine and Autonomic Systems (61 citations). Prosenjit Mondal has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Mehboob A. Hussain, Woo‐Jin Song, Amit Prasad, Subrata Ghosh, Amit Mishra, Dou Yeon Youn, Arleen B. Rifkind, Anthony A. Sauve, Silvia Diani-Moore and Debabrata Ghosh. Their work appears in journals such as Journal of Biological Chemistry, Analytical Chemistry and Cell Metabolism.

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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