Paromita Sen

964 citations
8 papers · 627 indexed · 2 hit papers · h-index 5
Topics
Adenosine and Purinergic Signaling (1 paper)Cholesterol and Lipid Metabolism (1 paper)Stress Responses and Cortisol (1 paper)
Partner nations
IrelandGermanySingapore

In The Last Decade

Paromita Sen

8 papers receiving 618 citations

Hit Papers

Defective cholesterol clearance limits remyelination in t...201820262020202320182024100200300

Peers

Paromita Sen
Comparison fields: 5 of 83
  • Molecular Biology 260
  • Neurology 207
  • Physiology 137
  • Immunology 133
  • Developmental Neuroscience 99
Replace Norihiro Matsuoka with:
Norihiro Matsuoka Japan
Joel G. Hashimoto United States
Sheng Chih Jin United States
Fabio Canneva Germany
Ming Ni China
Eugene Lee South Korea
Yi Yuan China
Binbin Yang China
Ru Feng China
Isabel de Diego Spain
Paromita Sen relative to Norihiro Matsuoka Japan Norihiro Matsuoka's profile →
Citations per field
00.5×6.6×
Norihiro Matsuoka · 1×
Citations per year

Countries citing papers authored by Paromita Sen

Since Specialization
Citations

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

Fields of papers citing papers by Paromita Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paromita Sen

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 3
2
Gut microbiota regulates stress responsivity via the circadian systembreakdown →
55
3 99
4 4
5
Evidence Review of Covid-19 and Women’s Informal Employment: A Call to Support the Most Vulnerable First in the Economic Recovery
2
6
Defective cholesterol clearance limits remyelination in the aged central nervous systembreakdown →
395
7 67
8 2

About Paromita Sen

Paromita Sen is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Physiology, having authored 8 papers that have together received 627 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Neurology (207 citations), Developmental Neuroscience (99 citations) and Biological Psychiatry (40 citations). Paromita Sen has collaborated with scholars based in Ireland, Germany and Singapore. Frequent co-authors include Mikael Simons, Wiebke Möbius, Mišo Mitkovski, Torben Ruhwedel, George Trendelenburg, Marie‐Theres Weil, Dirk Fitzner, Minhui Su, Ludovico Cantuti‐Castelvetri and Mar Bosch-Queralt. Their work appears in journals such as Science, Cell Metabolism and Molecular Psychiatry.

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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