Mudit Vaid

1.6k citations
27 papers · 1.1k · h-index 19

Impact in

Papers in

Mudit Vaid

27 papers receiving 1k citations

Peers

Mudit Vaid
Comparison fields: 5 of 76
  • Dermatology 176
  • Biochemistry 149
  • Drug Discovery 3
  • Aging 17
  • Rehabilitation 37
Replace Kyu Joong Ahn with:
Kyu Joong Ahn South Korea
Christina S. Sander Germany
Neena E. Philips United States
Ye Yang China
Natarajan Bhaskaran United States
Jinro Komura Japan
Liehua Deng China
Hae Seon Nam South Korea
Jérôme Rambert France
Jin Kyeong Choi South Korea
Mudit Vaid relative to Kyu Joong Ahn South Korea Kyu Joong Ahn's profile →
Citations per field
00.5×1.5×2.0×
Kyu Joong Ahn · 1×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011317
2 201073
3 201271
4 201069
5 201158
6 201253
7 200950
8 201042
9
Consortium IGVThe Indian Genome Variation database (IGVdb): a project overview. Hum Genet 118:1-11
200534
10 201434
11 200930
12 200425
13 201024
14 201324
15 201424
16 201924
17 201319
18 201519
19
Therapeutic intervention of proanthocyanidins on the migration capacity of melanoma cells is mediated through PGE2 receptors and β-catenin signaling molecules.
201519
20 201315

About Mudit Vaid

Mudit Vaid is a scholar working on Dermatology, Biochemistry, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Skin Protection and Aging (8 papers), Phytochemicals and Antioxidant Activities (6 papers), Epigenetics and DNA Methylation (3 papers), T-cell and B-cell Immunology (2 papers), Silymarin and Mushroom Poisoning (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Genomics and Rare Diseases (2 papers) and High-Energy Particle Collisions Research (2 papers). The work is most often cited by research in Dermatology (176 citations), Biochemistry (149 citations), Drug Discovery (3 citations), Aging (17 citations) and Rehabilitation (37 citations). Mudit Vaid has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Santosh K. Katiyar, Vivek Nandakumar, Ram Prasad, Tripti Singh, Syed Musthapa Meeran, Tripti Singh, Harry VAN STEEG, Som Datta Sharma, Qian Sun and Taruna Madan. Their work appears in journals such as Cancer Prevention Research, Carcinogenesis, Toxicology and Applied Pharmacology, Molecular Carcinogenesis and Journal of Clinical Investigation.

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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