Chapla Agarwal

11.2k citations
179 papers · 9.9k · h-index 61

Impact in

Papers in

Chapla Agarwal

178 papers receiving 9.6k citations

Peers

Chapla Agarwal
Comparison fields: 5 of 148
  • Applied Microbiology and Biotechnology 397
  • Biochemistry 1.1k
  • Cancer Research 1.4k
  • Geriatrics and Gerontology 264
  • Pharmacology 700
Replace Santosh K. Katiyar with:
Santosh K. Katiyar United States
Vernon E. Steele United States
Vaqar M. Adhami United States
Rajesh Agarwal United States
Ronald A. Lubet United States
Jai‐Sing Yang Taiwan
Siddavaram Nagini India
Takuji Tanaka Japan
Naghma Khan United States
Sang Kook Lee South Korea
Chapla Agarwal relative to Santosh K. Katiyar United States Santosh K. Katiyar's profile →
Citations per field
00.5×1.7×
Santosh K. Katiyar · 1×
Citations per year

Countries citing papers authored by Chapla Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Chapla Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013339
2
Silibinin strongly synergizes human prostate carcinoma DU145 cells to doxorubicin-induced growth Inhibition, G2-M arrest, and apoptosis.
2002293
3 2003211
4 2009209
5 2009195
6 2005182
7
Dietary feeding of silibinin inhibits advance human prostate carcinoma growth in athymic nude mice and increases plasma insulin-like growth factor-binding protein-3 levels.
2002176
8 1995168
9 2006160
10 2003160
11 2005155
12 2006146
13 2002146
14 2007142
15 2002140
16 2004137
17 2005132
18 2004132
19 2004129
20 2005129

About Chapla Agarwal

Chapla Agarwal is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Plant Science, having authored 179 papers that have together received 9.9k indexed citations. Recurring topics across this work include Silymarin and Mushroom Poisoning (56 papers), Pesticide Exposure and Toxicity (16 papers), Genomics, phytochemicals, and oxidative stress (14 papers), Retinoids in leukemia and cellular processes (13 papers), Tannin, Tannase and Anticancer Activities (13 papers), Polyamine Metabolism and Applications (13 papers), Cancer-related Molecular Pathways (11 papers) and Cancer, Lipids, and Metabolism (11 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (397 citations), Biochemistry (1.1k citations), Cancer Research (1.4k citations), Geriatrics and Gerontology (264 citations) and Pharmacology (700 citations). Chapla Agarwal has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Rajesh Agarwal, Rana P. Singh, Gagan Deep, Sivanandhan Dhanalakshmi, Manjinder Kaur, Komal Raina, Alpna Tyagi, Mallikarjuna Gu, Daniel C. Chan and Richard L. Eckert. Their work appears in journals such as Molecular Carcinogenesis, Cancer Research, Carcinogenesis, Molecular Cancer Therapeutics and Oncotarget.

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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