Mudit Gupta

25 papers receiving 2.0k citations

Hit Papers

Highly Efficient miRNA-Mediated Reprogramming of Mouse and Human Somatic Cells to Pluripotency 2011 · 907 citations
9072011202620162021250500750

Peers

Mudit Gupta
Comparison fields: 5 of 103
  • Molecular Biology 1.5k
  • Cancer Research 301
  • Developmental Neuroscience 43
  • Cell Biology 147
  • Oncology 228
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Ignacio Sancho-Martinez United States
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Christopher J. Hindley United Kingdom
Sasha Mendjan Austria
Han Sheng Chiu Australia
Rolland Reinbold Italy
Jonathan S. Draper Canada
Shi‐Jiang Lu United States
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Citations per year

Countries citing papers authored by Mudit Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Mudit Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Highly Efficient miRNA-Mediated Reprogramming of Mouse and Human Somatic Cells to Pluripotency
Hit paper breakdown →
2011907
2 2009254
3 2015214
4 2017158
5 2015105
6 201457
7 200952
8 200851
9 201450
10 201335
11 201631
12 201230
13 201421
14 201619
15 201816
16
A survey on refractive error and strabismus among children in a school at Aligarh.
200114
17 20148
18 20156
19
Nutritional status of pre-school children. II. Clinical assessment of nutritional deficiencies.
19724
20
Prevalence of Dental Traumatic Injuries to Permanent Incisors in Indian Children: A Cross-sectional Survey
20143

About Mudit Gupta

Mudit Gupta is a scholar working on Aging, General Dentistry, Oral Surgery, Ophthalmology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Pain Mechanisms and Treatments (2 papers), Chemokine receptors and signaling (2 papers), interferon and immune responses (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cancer Research (301 citations), Developmental Neuroscience (43 citations), Cell Biology (147 citations) and Oncology (228 citations). Mudit Gupta has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Jonathan A. Epstein, Chinmay M. Trivedi, Edward E. Morrisey, Denise Juhr, Frederick Anokye‐Danso, Peter J. Gruber, Zheng Cui, Yuzhen Zhang, Wenli Yang and Ying Tian. Their work appears in journals such as Nature Communications, Cell Reports, Cell stem cell, Analytical Chemistry and Journal of Theoretical Biology.

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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