Arup Chakraborty

4.5k total citations
69 papers, 1.7k citations indexed

About

Arup Chakraborty is a scholar working on Oncology, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Arup Chakraborty has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 16 papers in Molecular Biology and 9 papers in Clinical Psychology. Recurrent topics in Arup Chakraborty's work include Cytokine Signaling Pathways and Interactions (12 papers), COVID-19 and Mental Health (7 papers) and Child Nutrition and Water Access (5 papers). Arup Chakraborty is often cited by papers focused on Cytokine Signaling Pathways and Interactions (12 papers), COVID-19 and Mental Health (7 papers) and Child Nutrition and Water Access (5 papers). Arup Chakraborty collaborates with scholars based in United States, India and United Kingdom. Arup Chakraborty's co-authors include David J. Tweardy, Sushovan Guha, Qing Zeng, Bharat B. Aggarwal, Kevin F. Dyer, Debabrata Saha, Arista Lahiri, Kwang Seok Ahn, Humam Kadara and S. Asha Nair and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Arup Chakraborty

59 papers receiving 1.7k citations

Peers

Arup Chakraborty
Comparison fields: 5 of 139
  • Molecular Biology 792
  • Oncology 651
  • Immunology 354
  • Cancer Research 258
  • Pulmonary and Respiratory Medicine 173
Replace Muhammad Furqan with:
Muhammad Furqan United States
Fang Zhang China
Ivy Chung Malaysia
Carmen Sílvia Passos Lima Brazil
Jan A. M. Raaijmakers Netherlands
Luming Liu China
Kostandinos Sideras United States
Yvonne Lo Hong Kong
Julie Beitz United States
Gregory D. Ayers United States
Muhammad Furqan United States View profile →
Citations per field, relative to Arup Chakraborty
Arup Chakraborty · 1×
Citations per year, relative to Arup Chakraborty
Arup Chakraborty · 1×

Countries citing papers authored by Arup Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Arup Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arup Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Arup Chakraborty. A scholar is included among the top collaborators of Arup Chakraborty 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 Arup Chakraborty. Arup Chakraborty 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 2
2 0
3 8
4 0
5 13
6 8
7 2
8 10
9
Influenza virus geometry shapes the immune response against it
0
10 21
11 9
12 69
13 22
14 144
15
WP1066, a potent inhibitor of Jak2/STAT3 pathway inhibits pancreatic tumor growth both in vitro and in vivo
7
16 196
17 51
18 16
19 10
20 76

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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