Gagan Deep

7.8k citations
139 papers · 6.4k · 1 hit paper · h-index 49

Impact in

Papers in

Gagan Deep

138 papers receiving 6.3k citations

Gagan Deep's Hit Papers

Oxidative stress and metabolic disorders: Pathogenesis and therapeutic strategies 2016 · 900 citations
9000+3+6Years since publication250500750

Peers

Gagan Deep
Comparison fields: 5 of 141
  • Cancer Research 1.4k
  • Pulmonary and Respiratory Medicine 1.7k
  • Molecular Biology 3.3k
  • Biochemistry 280
  • Pharmacology 703
Replace Wun‐Jae Kim with:
Wun‐Jae Kim South Korea
Yong Yang China
Na Lu China
Yoshinobu Hirose Japan
Ying Huang United States
Sanjeev Shukla United States
Zhiyu Wang China
Ammad Ahmad Farooqı Pakistan
Peter Kubatka Slovakia
Sunil K. Manna India
Gagan Deep relative to Wun‐Jae Kim South Korea Wun‐Jae Kim's profile →
Citations per field
00.5×1.6×
Wun‐Jae Kim · 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 139 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 →
2016900
2 2013339
3 2010224
4 2005155
5 2006147
6 2020138
7 2018121
8 2008110
9 2007106
10 2018104
11 2020103
12 2015101
13 202098
14 201991
15 201590
16 200888
17 200986
18 201285
19 201680
20 200975

About Gagan Deep

Gagan Deep is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Pharmacology and Oncology, having authored 139 papers that have together received 6.4k indexed citations. Recurring topics across this work include Silymarin and Mushroom Poisoning (41 papers), Extracellular vesicles in disease (32 papers), MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (11 papers), Prostate Cancer Treatment and Research (10 papers), Synthesis and bioactivity of alkaloids (10 papers), Cancer, Hypoxia, and Metabolism (10 papers) and Berberine and alkaloids research (10 papers). The work is most often cited by research in Cancer Research (1.4k citations), Pulmonary and Respiratory Medicine (1.7k citations), Molecular Biology (3.3k citations), Biochemistry (280 citations) and Pharmacology (703 citations). Gagan Deep has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Rajesh Agarwal, Chapla Agarwal, Umesh C. S. Yadav, Vibha Rani, Rakesh K. Singh, Komaraiah Palle, Ashish Kumar, Rana P. Singh, Harold J. Ting and Gatikrushna Panigrahi. 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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