Gagan Deep

7.6k citations
136 papers · 6.0k indexed · 1 hit paper · h-index 47

Impact in

Papers in

    • MicroRNA in disease regulation 15
    • Cancer, Lipids, and Metabolism 12
    • Cancer, Hypoxia, and Metabolism 11
    • Cancer-related molecular mechanisms research 11
    • Silymarin and Mushroom Poisoning 39
    • Prostate Cancer Treatment and Research 11

Gagan Deep

133 papers receiving 5.9k citations

Hit Papers

Oxidative stress and metabolic disorders: Pathogenesis and therapeutic strategies 2016 · 853 citations
8532016202620192022250500750

Peers

Gagan Deep
Comparison fields: 5 of 145
  • Cancer Research 1.5k
  • Pulmonary and Respiratory Medicine 1.6k
  • Molecular Biology 3.3k
  • Biochemistry 282
  • Pharmacology 728
Replace Yong Yang with:
Yong Yang China
Yong‐Yeon Cho South Korea
Yoshinobu Hirose Japan
Na Lu China
Ya‐Ling Hsu Taiwan
Ying Huang United States
Sanjeev Shukla United States
Peter Kubatka Slovakia
Sunil K. Manna India
Lingzhi Wang Singapore
Gagan Deep relative to Yong Yang China Yong Yang's profile →
Citations per field
00.5×1.5×2.3×
Yong Yang · 1×
Citations per year

Countries citing papers authored by Gagan Deep

Since Specialization
Citations

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

Fields of papers citing papers by Gagan Deep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oxidative stress and metabolic disorders: Pathogenesis and therapeutic strategies
Hit paper breakdown →
2016853
2 2013322
3 2010212
4 2005148
5 2006137
6 2020134
7 2018114
8 2008107
9 2018101
10 201599
11 202098
12 200797
13 202092
14 201589
15 201985
16 201282
17 200881
18 200981
19 201677
20 200973

About Gagan Deep

Gagan Deep is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Applied Microbiology and Biotechnology and Neurology, having authored 136 papers that have together received 6.0k indexed citations. Recurring topics across this work include Silymarin and Mushroom Poisoning (39 papers), Extracellular vesicles in disease (31 papers), MicroRNA in disease regulation (15 papers), Cancer, Lipids, and Metabolism (12 papers), Cancer, Hypoxia, and Metabolism (11 papers), Prostate Cancer Treatment and Research (11 papers), Cancer-related molecular mechanisms research (11 papers) and Synthesis and bioactivity of alkaloids (10 papers). The work is most often cited by research in Cancer Research (1.5k citations), Pulmonary and Respiratory Medicine (1.6k citations), Molecular Biology (3.3k citations), Biochemistry (282 citations) and Pharmacology (728 citations). Gagan Deep has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Rajesh Agarwal, Chapla Agarwal, Umesh C. S. Yadav, Vibha Rani, Komaraiah Palle, Rakesh K. Singh, Ashish Kumar, Rana P. Singh, Gatikrushna Panigrahi and Harold J. Ting. Their work appears in journals such as Molecular Carcinogenesis, Cancer Research, Scientific Reports, Alzheimer s & Dementia and Carcinogenesis.

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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