Devanand Sarkar

22.6k citations
315 papers · 19.2k · 3 hit papers · h-index 74

Impact in

  • Oncology top 0.5%
    • Cytokine Signaling Pathways and Interactions
  • Biotechnology top 0.2%
    • Cancer Research and Treatments

Papers in

Devanand Sarkar

309 papers receiving 18.8k citations

Devanand Sarkar's Hit Papers

Emerging Therapies for Hepatocellular Carcinoma (HCC) 2022 · 255 citations
2550+7+14Years since publication250500750

Peers

Devanand Sarkar
Comparison fields: 5 of 140
  • Oncology 3.3k
  • Biotechnology 955
  • Cancer Research 1.9k
  • Pathology and Forensic Medicine 2.3k
  • Immunology 2.4k
Replace Steven Grant with:
Steven Grant United States
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Salem Chouaı̈b France
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Devanand Sarkar relative to Steven Grant United States Steven Grant's profile →
Citations per field
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Citations per year

Countries citing papers authored by Devanand Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Devanand Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Devanand Sarkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devanand Sarkar Line = papers co-authored together Devanand Sarkar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 315 papers — load more, or switch the sort, to bring in the rest.

#Work
1
I nterleukin -10 and R elated C ytokines and R eceptors
Hit paper breakdown →
2004954
2
Hepatocellular carcinoma (HCC): Epidemiology, etiology and molecular classification
Hit paper breakdown →
2020636
3 2013473
4 2010342
5 2005304
6 2009294
7 2012276
8 2002275
9 2008266
10 2005256
11
Emerging Therapies for Hepatocellular Carcinoma (HCC)
Hit paper breakdown →
2022255
12 2006252
13 2011242
14 2012227
15 2008215
16 2014209
17 2006200
18 2007194
19 2013189
20 2003177

About Devanand Sarkar

Devanand Sarkar is a scholar working on Pathology and Forensic Medicine, Oncology, Biotechnology, Hepatology and Immunology, having authored 315 papers that have together received 19.2k indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (58 papers), Virus-based gene therapy research (40 papers), Cell death mechanisms and regulation (28 papers), Cancer Research and Treatments (27 papers), Hepatocellular Carcinoma Treatment and Prognosis (25 papers), Glioma Diagnosis and Treatment (21 papers), Cytokine Signaling Pathways and Interactions (20 papers) and Cancer-related Molecular Pathways (18 papers). The work is most often cited by research in Oncology (3.3k citations), Biotechnology (955 citations), Cancer Research (1.9k citations), Pathology and Forensic Medicine (2.3k citations) and Immunology (2.4k citations). Devanand Sarkar has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Paul B. Fisher, Zao-zhong Su, Luni Emdad, Swadesh Kumar Das, Paul Dent, Luni Emdad, Irina V. Lebedeva, Seok‐Geun Lee, Saranya Chidambaranathan Reghupaty and Xiang‐Yang Wang. Their work appears in journals such as Cancer Research, Advances in cancer research, Proceedings of the National Academy of Sciences, Journal of Cellular Physiology and Oncogene.

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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