Jay P. Tiesman

2.6k citations
48 papers · 2.0k · h-index 23

Impact in

    • Dermatology and Skin Diseases
    • Skin Protection and Aging
    • Gastrointestinal motility and disorders

Papers in

    • Fibroblast Growth Factor Research 6
    • Gene expression and cancer classification 6
    • Molecular Biology Techniques and Applications 6
    • Advanced Biosensing Techniques and Applications 3
    • Estrogen and related hormone effects 6

Jay P. Tiesman

47 papers receiving 1.9k citations

Peers

Jay P. Tiesman
Comparison fields: 5 of 131
  • Dermatology 221
  • Gastroenterology 115
  • Health, Toxicology and Mutagenesis 194
  • Rehabilitation 83
  • Periodontics 56
Replace João H. Duarte with:
João H. Duarte United Kingdom
Giorgia Cardinali Italy
Eun‐Gyung Cho South Korea
Yingmin Wang China
Mohammad Reza Namazi Iran
Dragan Jovanović Canada
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Jeung‐Hoon Lee South Korea
François Mineau Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jay P. Tiesman

Since Specialization
Citations

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

Fields of papers citing papers by Jay P. Tiesman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay P. Tiesman. 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 Jay P. Tiesman. The network helps show where Jay P. Tiesman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994308
2 2008145
3 2008131
4 1993129
5 201091
6 201190
7 200579
8 200974
9 202171
10 200466
11 199266
12 201656
13 201850
14 198848
15 201047
16 199339
17 200433
18 201233
19 198931
20 199029

About Jay P. Tiesman

Jay P. Tiesman is a scholar working on Molecular Biology, Genetics, Dermatology, Cell Biology and Health, Toxicology and Mutagenesis, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (6 papers), Estrogen and related hormone effects (6 papers), Gene expression and cancer classification (6 papers), Molecular Biology Techniques and Applications (6 papers), Skin Protection and Aging (5 papers), Reproductive System and Pregnancy (3 papers), Advanced Biosensing Techniques and Applications (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Dermatology (221 citations), Gastroenterology (115 citations), Health, Toxicology and Mutagenesis (194 citations), Rehabilitation (83 citations) and Periodontics (56 citations). Jay P. Tiesman has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Gregory J. Carr, Jorge M. Naciff, George P. Daston, Angie Rizzino, Charles E. Hart, Raymond A. Grant, Tim Reichling, Andy Fulmer, Gary J. Overmann and Ping Hu. Their work appears in journals such as Toxicological Sciences, British Journal of Dermatology, PLoS ONE, Developmental Biology and BioTechniques.

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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