Rajat Singh

11.8k total citations · 4 hit papers
60 papers, 9.4k citations indexed

About

Rajat Singh is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Rajat Singh has authored 60 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Epidemiology, 23 papers in Molecular Biology and 16 papers in Physiology. Recurrent topics in Rajat Singh's work include Autophagy in Disease and Therapy (35 papers), Lipid metabolism and biosynthesis (13 papers) and Adipose Tissue and Metabolism (12 papers). Rajat Singh is often cited by papers focused on Autophagy in Disease and Therapy (35 papers), Lipid metabolism and biosynthesis (13 papers) and Adipose Tissue and Metabolism (12 papers). Rajat Singh collaborates with scholars based in United States, United Kingdom and France. Rajat Singh's co-authors include Ana María Cuervo, Yongjun Wang, Youqing Xiang, Mark J. Czaja, Susmita Kaushik, Masaaki Komatsu, Inna Novak, Keiji Tanaka, Nuria Martínez-López and Mark J. Czaja and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Rajat Singh

59 papers receiving 9.3k citations

Hit Papers

Autophagy regulates lipid metabolism 2009 2026 2014 2020 2009 2011 2009 2012 1000 2.0k 3.0k

Peers

Rajat Singh
Comparison fields: 5 of 135
  • Epidemiology 5.8k
  • Molecular Biology 3.4k
  • Physiology 2.0k
  • Cell Biology 1.7k
  • Biochemistry 1.7k
Replace Masato Furuhashi with:
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Gürol Tuncman United States
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Ryutaro Komuro Japan
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David B. Savage United Kingdom
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Maria M. Mihaylova United States
Masato Furuhashi Japan View profile →
Citations per field, relative to Rajat Singh
Rajat Singh · 1×
Citations per year, relative to Rajat Singh
Rajat Singh · 1×

Countries citing papers authored by Rajat Singh

Since Specialization
Citations

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

Fields of papers citing papers by Rajat Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajat Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Rajat Singh. A scholar is included among the top collaborators of Rajat Singh 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 Rajat Singh. Rajat Singh 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
# Work Indexed citations
1 10
2 16
3 11
4 39
5 20
6 28
7 7
8 51
9 52
10 32
11 130
12 99
13 92
14 28
15 104
16 58
17 68
18
Autophagy regulates adipose mass and differentiation in mice breakdown →
623
19 13
20 177

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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