Saumitra Das

3.9k total citations
59 papers, 1.6k citations indexed

About

Saumitra Das is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Saumitra Das has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 20 papers in Epidemiology and 19 papers in Hepatology. Recurrent topics in Saumitra Das's work include RNA Research and Splicing (19 papers), Hepatitis C virus research (18 papers) and RNA modifications and cancer (17 papers). Saumitra Das is often cited by papers focused on RNA Research and Splicing (19 papers), Hepatitis C virus research (18 papers) and RNA modifications and cancer (17 papers). Saumitra Das collaborates with scholars based in India, United States and Australia. Saumitra Das's co-authors include Richa Grover, Partho Sarothi Ray, Shwetha Shivaprasad, Sharathchandra Arandkar, Debjit Khan, Ranajoy Mullick, Anuj Kumar, Amitava Dasgupta, Narayanaswamy Srinivasan and Souvik Ghosh and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Saumitra Das

58 papers receiving 1.5k citations

Peers

Saumitra Das
Comparison fields: 5 of 90
  • Molecular Biology 1.0k
  • Cancer Research 297
  • Oncology 246
  • Epidemiology 217
  • Hepatology 197
Boping Zhou China
Kenneth S. S. Chang United States
Chengpeng Fan China
Congwen Wei China
Hilla Giladi Israel
Xiaoning Si Canada
Hien Dang United States
Michael F. Laspia United States
S.-H. Yeh Taiwan
Ratan K. Maitra United States
Boping Zhou China View profile →
Citations per field, relative to Saumitra Das
Saumitra Das · 1×
Citations per year, relative to Saumitra Das
Saumitra Das · 1×

Countries citing papers authored by Saumitra Das

Since Specialization
Citations

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

Fields of papers citing papers by Saumitra Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saumitra Das

This figure shows the co-authorship network connecting the top 25 collaborators of Saumitra Das. A scholar is included among the top collaborators of Saumitra Das 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 Saumitra Das. Saumitra Das 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 4
2 1
3 0
4 7
5 12
6 6
7 1
8 14
9 29
10 138
11 18
12
HuR Displaces Polypyrimidine Tract Binding Protein To Facilitate La Binding to the 3 ` Untranslated Region and Enhances Hepatitis C Virus Replication (vol 89, pg 11356, 2015)
43
13 31
14 59
15 12
16 52
17 31
18 39
19 17
20 21

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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