Shehla Pervin

2.6k total citations
42 papers, 2.1k citations indexed

About

Shehla Pervin is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Shehla Pervin has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 20 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Shehla Pervin's work include Nitric Oxide and Endothelin Effects (12 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Adipose Tissue and Metabolism (9 papers). Shehla Pervin is often cited by papers focused on Nitric Oxide and Endothelin Effects (12 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Adipose Tissue and Metabolism (9 papers). Shehla Pervin collaborates with scholars based in United States, Japan and Nigeria. Shehla Pervin's co-authors include Rajan Singh, Gautam Chaudhuri, Melissa Braga, Stephen D. Cederbaum, Michael E. Rosenfeld, Lauren Nathan, Shalender Bhasin, Norma Rogers, Ahmad Karimi and Debra A. Schmitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Shehla Pervin

41 papers receiving 2.1k citations

Peers

Shehla Pervin
Comparison fields: 5 of 104
  • Molecular Biology 859
  • Physiology 808
  • Biochemistry 295
  • Cancer Research 294
  • Immunology 269
Replace Ryuichi Tozawa with:
Ryuichi Tozawa Japan
Imran N. Mungrue United States
Nam Ho Jeoung South Korea
Haowei Song United States
Anna M. Gómèz‐Foix Spain
Raymond E. Soccio United States
Roland Govers Netherlands
Norbert Tennagels Germany
Anisha A. Gupte United States
Ryuichi Tozawa Japan View profile →
Citations per field, relative to Shehla Pervin
Shehla Pervin · 1×
Citations per year, relative to Shehla Pervin
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Countries citing papers authored by Shehla Pervin

Since Specialization
Citations

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

Fields of papers citing papers by Shehla Pervin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shehla Pervin

This figure shows the co-authorship network connecting the top 25 collaborators of Shehla Pervin. A scholar is included among the top collaborators of Shehla Pervin 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 Shehla Pervin. Shehla Pervin 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 30
2 55
3 7
4 18
5 12
6 14
7 51
8 58
9 92
10 3
11 28
12 36
13 27
14 11
15 17
16 39
17 66
18 31
19 27
20 25

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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