Prasoon Agarwal

1.2k citations
37 papers · 868 · h-index 17

Impact in

Papers in

Prasoon Agarwal

34 papers receiving 860 citations

Peers

Prasoon Agarwal
Comparison fields: 5 of 88
  • Periodontics 78
  • Obstetrics and Gynecology 76
  • Hematology 98
  • Molecular Biology 430
  • Cancer Research 85
Replace H.Z. Ke with:
H.Z. Ke United States
Maria Faas Netherlands
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Ting‐Ying Fu Taiwan
Motoyuki Uchida Japan
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Wenxin Huang United States
Renuka Rao India
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Citations per field
00.5×10.9×
H.Z. Ke · 1×
Citations per year

Countries citing papers authored by Prasoon Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Prasoon Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018151
2 201077
3 202072
4 201165
5 201661
6 201646
7 201737
8
Gene expression profile of epithelial cells and mesenchymal cells derived from limbal explant culture.
201030
9 200925
10 201923
11 201922
12 202222
13 202122
14 202220
15 200920
16 201920
17 201517
18 201416
19 201214
20
Role of TGF-beta beta and BMP7 in the pathogenesis of oral submucous fibrosis
201112

About Prasoon Agarwal

Prasoon Agarwal is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Periodontics, Surgery and Oncology, having authored 37 papers that have together received 868 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Oral Health Pathology and Treatment (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Birth, Development, and Health (4 papers), Ubiquitin and proteasome pathways (3 papers), Multiple Myeloma Research and Treatments (3 papers), Oral and Maxillofacial Pathology (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Periodontics (78 citations), Obstetrics and Gynecology (76 citations), Hematology (98 citations), Molecular Biology (430 citations) and Cancer Research (85 citations). Prasoon Agarwal has collaborated with scholars based in Sweden, Canada and India. Frequent co-authors include Vernon W. Dolinsky, Praveen Kumar, Christine A. Doucette, Stephanie M. Kereliuk, Helena Jernberg‐Wiklund, Brandy Wicklow, Paturu Kondaiah, Gagan Thangjam, Imran Khan and Antonia Kalushkova. Their work appears in journals such as International Journal of Molecular Sciences, Oncotarget, Endocrinology, PLoS ONE and Intensive Care Medicine Experimental.

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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