Deepaneeta Sarmah

1.9k total citations
54 papers, 1.4k citations indexed

About

Deepaneeta Sarmah is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Deepaneeta Sarmah has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Neurology and 17 papers in Epidemiology. Recurrent topics in Deepaneeta Sarmah's work include Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Autophagy in Disease and Therapy (10 papers) and Mesenchymal stem cell research (7 papers). Deepaneeta Sarmah is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Autophagy in Disease and Therapy (10 papers) and Mesenchymal stem cell research (7 papers). Deepaneeta Sarmah collaborates with scholars based in India, United States and France. Deepaneeta Sarmah's co-authors include Pallab Bhattacharya, Kiran Kalia, Dileep R. Yavagal, Anupom Borah, Kunjan R. Dave, Harpreet Kaur, Aishika Datta, Jackson Saraf, Pabbala Veeresh and Geetesh Verma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Free Radical Biology and Medicine.

In The Last Decade

Deepaneeta Sarmah

51 papers receiving 1.4k citations

Peers

Deepaneeta Sarmah
Comparison fields: 5 of 116
  • Molecular Biology 585
  • Neurology 375
  • Epidemiology 288
  • Physiology 180
  • Cancer Research 153
Replace Mohd Parvez Khan with:
Mohd Parvez Khan India
Wei Yin United States
Jingwei Shang Japan
Marietta Zille Germany
Hui Zhao China
Chunhua Chen China
Larissa Khoutorova United States
Sanaz Nasoohi Iran
Jianfei Lu China
Changjun Yang United States
Mohd Parvez Khan India View profile →
Citations per field, relative to Deepaneeta Sarmah
Deepaneeta Sarmah · 1×
Citations per year, relative to Deepaneeta Sarmah
Deepaneeta Sarmah · 1×

Countries citing papers authored by Deepaneeta Sarmah

Since Specialization
Citations

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

Fields of papers citing papers by Deepaneeta Sarmah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepaneeta Sarmah

This figure shows the co-authorship network connecting the top 25 collaborators of Deepaneeta Sarmah. A scholar is included among the top collaborators of Deepaneeta Sarmah 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 Deepaneeta Sarmah. Deepaneeta Sarmah 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 0
2 1
3 1
4 10
5 10
6 16
7 15
8 0
9 30
10 11
11 6
12 66
13 15
14 17
15 15
16 26
17 4
18 57
19 44
20 48

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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