Deobrat Dixit

4.0k citations
48 papers · 2.6k · h-index 27

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • Cancer-related molecular mechanisms research 8
    • Cancer, Hypoxia, and Metabolism 6
    • NF-κB Signaling Pathways 4
    • Immune cells in cancer 7
    • interferon and immune responses 6

Deobrat Dixit

45 papers receiving 2.6k citations

Peers

Deobrat Dixit
Comparison fields: 5 of 104
  • Cancer Research 636
  • Genetics 391
  • Endocrine and Autonomic Systems 186
  • Aging 46
  • Molecular Biology 1.4k
Replace Zhixin Qiu with:
Zhixin Qiu China
Xiangqi Meng China
Jillian Haight Canada
Virginia Alvarez Garcia Spain
Kaiko Kunii United States
Jan R. Dörr Germany
Chieko Koike Japan
Annie Lee Hsieh United States
Fumiko Shimizu Japan
Mohamed Abdouh Canada
Deobrat Dixit relative to Zhixin Qiu China Zhixin Qiu's profile →
Citations per field
00.5×2×3.1×
Zhixin Qiu · 1×
Citations per year

Countries citing papers authored by Deobrat Dixit

Since Specialization
Citations

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

Fields of papers citing papers by Deobrat Dixit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deobrat Dixit, 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 Deobrat Dixit Line = papers co-authored together Deobrat Dixit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020312
2 2020245
3 2019244
4 2018199
5 2017154
6 2016101
7 2012100
8 201491
9 202285
10 201075
11 200968
12 202265
13 202359
14 201151
15 200950
16 201745
17 201144
18 202337
19 202434
20 201334

About Deobrat Dixit

Deobrat Dixit is a scholar working on Cancer Research, Immunology, Molecular Biology, Genetics and Oncology, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Immune cells in cancer (7 papers), RNA modifications and cancer (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Glioma Diagnosis and Treatment (6 papers), interferon and immune responses (6 papers), Autophagy in Disease and Therapy (5 papers) and NF-κB Signaling Pathways (4 papers). The work is most often cited by research in Cancer Research (636 citations), Genetics (391 citations), Endocrine and Autonomic Systems (186 citations), Aging (46 citations) and Molecular Biology (1.4k citations). Deobrat Dixit has collaborated with scholars based in United States, India and China. Frequent co-authors include Ellora Sen, Vivek Kumar Sharma, Jeremy N. Rich, Nitin Koul, Sadashib Ghosh, Qiulian Wu, Briana C. Prager, Qi Xie, Zhixin Qiu and Ryan C. Gimple. Their work appears in journals such as Cancer Discovery, Cell Death and Disease, Neuro-Oncology, Cancer Cell and Science Translational Medicine.

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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