Arpan C. Ghosh

522 citations
10 papers · 317 indexed · h-index 7
Topics
Neurobiology and Insect Physiology Research (6 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)Animal Behavior and Reproduction (3 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Arpan C. Ghosh

10 papers receiving 317 citations

Peers

Arpan C. Ghosh
Comparison fields: 5 of 50
  • Cellular and Molecular Neuroscience 185
  • Molecular Biology 119
  • Insect Science 79
  • Genetics 73
  • Immunology 65
Replace Uliana Semaniuk with:
Uliana Semaniuk Ukraine
Max Diesner Germany
Daojun Cheng China
Philip Hehlert Germany
Aniruddha A. Pandit United Kingdom
Rewatee H. Gokhale United States
Neha Agrawal India
Sifang Liao Sweden
Kah Junn Tan Singapore
Nick Reeves United States
Arpan C. Ghosh relative to Uliana Semaniuk Ukraine Uliana Semaniuk's profile →
Citations per field
00.5×10×20×28×
Uliana Semaniuk · 1×
Citations per year

Countries citing papers authored by Arpan C. Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Arpan C. Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arpan C. Ghosh. 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 Arpan C. Ghosh. The network helps show where Arpan C. Ghosh may publish in the future.

Co-authorship network of co-authors of Arpan C. Ghosh

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 3
3 22
4 54
5 6
6 62
7 61
8 15
9 79
10 13

About Arpan C. Ghosh

Arpan C. Ghosh is a scholar working on Aging, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 317 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Aging (46 citations), Cellular and Molecular Neuroscience (185 citations) and Insect Science (79 citations). Arpan C. Ghosh has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Michael B. O’Connor, John R. Carlson, Tong‐Wey Koh, Myung-Jun Kim, MaryJane Shimell, Francisco A. Martín, Nuria M. Romero, Xueyang Pan, Pierre Léopold and Norbert Perrimon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Development and Scientific Reports.

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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