Deepika Sharma Das

1.3k total citations
33 papers, 821 citations indexed

About

Deepika Sharma Das is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Deepika Sharma Das has authored 33 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Hematology and 7 papers in Immunology. Recurrent topics in Deepika Sharma Das's work include Multiple Myeloma Research and Treatments (17 papers), Protein Degradation and Inhibitors (12 papers) and Ubiquitin and proteasome pathways (11 papers). Deepika Sharma Das is often cited by papers focused on Multiple Myeloma Research and Treatments (17 papers), Protein Degradation and Inhibitors (12 papers) and Ubiquitin and proteasome pathways (11 papers). Deepika Sharma Das collaborates with scholars based in United States, India and Sweden. Deepika Sharma Das's co-authors include Dharminder Chauhan, Kenneth C. Anderson, Arghya Ray, Yan Song, Paul G. Richardson, D.P. Barondeau, Nikhil C. Munshi, Mehmet Samur, Abhishek Das and Ruben D. Carrasco and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Deepika Sharma Das

33 papers receiving 815 citations

Peers

Deepika Sharma Das
Comparison fields: 5 of 75
  • Molecular Biology 617
  • Oncology 283
  • Hematology 201
  • Immunology 78
  • Epidemiology 68
Replace Catherine Tang with:
Catherine Tang United States
Goldie Y.L. Lui Australia
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Vegi M. Naidu Germany
Ota Fuchs Czechia
Joel W. Thompson United States
Zhixiong Xu United States
Merav Darash‐Yahana Israel
Alessandra Aloisi Italy
Huilan Lin United States
Catherine Tang United States View profile →
Citations per field, relative to Deepika Sharma Das
Deepika Sharma Das · 1×
Citations per year, relative to Deepika Sharma Das
Deepika Sharma Das · 1×

Countries citing papers authored by Deepika Sharma Das

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Sharma Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepika Sharma Das

This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Sharma Das. A scholar is included among the top collaborators of Deepika Sharma 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 Deepika Sharma Das. Deepika Sharma 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 20
2 19
3 78
4 1
5 83
6 137
7 35
8 68
9 2
10 61
11 60
12 3
13 1
14 1
15 7
16 37
17 1
18 37
19
Role of apoptosis-inducing factor (Aif) in the T cell lineage.
6
20 13

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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