Mudit Vaid

28 papers receiving 973 citations

Peers

Mudit Vaid
Comparison fields: 5 of 90
  • Biochemistry 158
  • Applied Microbiology and Biotechnology 37
  • Dermatology 163
  • Geriatrics and Gerontology 51
  • Pathology and Forensic Medicine 130
Replace Yi‐Ju Lee with:
Yi‐Ju Lee Taiwan
Elisa Pierpaoli Italy
Eun‐Mi Noh South Korea
Bong Whan Ahn South Korea
Jarosław Paluszczak Poland
Youn Kyung Choi South Korea
Hasan Mukhtar United States
Jae In Jung South Korea
Jin Mo Ku South Korea
Yingchun Zhou China
Mudit Vaid relative to Yi‐Ju Lee Taiwan Yi‐Ju Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mudit Vaid

Since Specialization
Citations

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

Fields of papers citing papers by Mudit Vaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011311
2 201073
3 201269
4 201067
5 201155
6 201251
7 200949
8 201041
9 201434
10 200930
11 200424
12 201424
13 201924
14 201322
15 201021
16 201319
17 201519
18
Therapeutic intervention of proanthocyanidins on the migration capacity of melanoma cells is mediated through PGE2 receptors and β-catenin signaling molecules.
201519
19 201315
20 201510

About Mudit Vaid

Mudit Vaid is a scholar working on Molecular Biology, Immunology, Dermatology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (8 papers), Skin Protection and Aging (8 papers), melanin and skin pigmentation (4 papers), Epigenetics and DNA Methylation (4 papers), Tea Polyphenols and Effects (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Cancer-related gene regulation (2 papers) and Flavonoids in Medical Research (2 papers). The work is most often cited by research in Biochemistry (158 citations), Applied Microbiology and Biotechnology (37 citations), Dermatology (163 citations), Geriatrics and Gerontology (51 citations) and Pathology and Forensic Medicine (130 citations). Mudit Vaid has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Santosh K. Katiyar, Vivek Nandakumar, Ram Prasad, Tripti Singh, Syed Musthapa Meeran, Sanjeev Sharma, Tripti Singh, Harry van Steeg, Som D. Sharma and Qian Sun. Their work appears in journals such as Cancer Research, Cancer Prevention Research, Carcinogenesis, Toxicology and Applied Pharmacology and Molecular 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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