Komal Raina

9.3k citations
74 papers · 7.5k · 1 hit paper · h-index 33

Impact in

  • Epidemiology top 0.5%
    • Autophagy in Disease and Therapy
  • Physiology top 0.5%
    • Calcium signaling and nucleotide metabolism

Papers in

Komal Raina

74 papers receiving 7.3k citations

Komal Raina's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) 2016 · 4.7k citations
4.7k0+3+6Years since publication10002.0k3.0k4.0k

Peers

Komal Raina
Comparison fields: 5 of 156
  • Epidemiology 3.1k
  • Physiology 393
  • Geriatrics and Gerontology 238
  • Applied Microbiology and Biotechnology 94
  • Aging 87
Replace Yong‐Yeon Cho with:
Yong‐Yeon Cho South Korea
Federica Rizzi Italy
Makoto Ubukata Japan
Saverio Bettuzzi Italy
Claudia Cerella Luxembourg
Bal L. Lokeshwar United States
Ángel Ortega Spain
Shyng‐Shiou F. Yuan Taiwan
Roberto Bei Italy
Regine Schneider‐Stock Germany
Komal Raina relative to Yong‐Yeon Cho South Korea Yong‐Yeon Cho's profile →
Citations per field
00.5×1.5×
Yong‐Yeon Cho · 1×
Citations per year

Countries citing papers authored by Komal Raina

Since Specialization
Citations

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

Fields of papers citing papers by Komal Raina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Hit paper breakdown →
20164660
2 2012184
3 2008142
4 2008110
5 2009108
6 200793
7 200888
8 200986
9 201685
10 201083
11 201378
12 201174
13 201373
14 201371
15 200769
16 201365
17 201365
18 201765
19 201459
20 200758

About Komal Raina

Komal Raina is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Pharmacology, Applied Microbiology and Biotechnology and Cancer Research, having authored 74 papers that have together received 7.5k indexed citations. Recurring topics across this work include Silymarin and Mushroom Poisoning (20 papers), Synthesis and bioactivity of alkaloids (7 papers), Berberine and alkaloids research (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Tannin, Tannase and Anticancer Activities (5 papers), Prostate Cancer Treatment and Research (4 papers), Phytase and its Applications (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Epidemiology (3.1k citations), Physiology (393 citations), Geriatrics and Gerontology (238 citations), Applied Microbiology and Biotechnology (94 citations) and Aging (87 citations). Komal Raina has collaborated with scholars based in United States, India and Egypt. Frequent co-authors include Rajesh Agarwal, Chapla Agarwal, Rana Pratap Singh, Gagan Deep, Subapriya Rajamanickam, Dileep Kumar, Natalie Julie Serkova, Samiha Mateen, Elizabeth P. Ryan and Alpna Tyagi. Their work appears in journals such as Molecular Carcinogenesis, Cancer Research, Clinical Cancer Research, Cancer Prevention Research and Cancers.

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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