John Common

4.3k citations
68 papers · 2.2k · h-index 25

Impact in

Papers in

John Common

67 papers receiving 2.1k citations

Peers

John Common
Comparison fields: 5 of 113
  • Dermatology 789
  • Immunology and Allergy 338
  • Rehabilitation 140
  • Urology 125
  • Cell Biology 274
Replace Aat A. Mulder with:
Aat A. Mulder Netherlands
Yasushi Suga Japan
Richard B. Presland United States
Teruki Dainichi Japan
José Álvaro Pereira Gomes Brazil
Yvonne Marquardt Germany
Dong‐Youn Lee South Korea
Pia Houdek Germany
Hong Wan United Kingdom
Tetsuro Kobayashi Japan
John Common relative to Aat A. Mulder Netherlands Aat A. Mulder's profile →
Citations per field
00.5×3.0×
Aat A. Mulder · 1×
Citations per year

Countries citing papers authored by John Common

Since Specialization
Citations

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

Fields of papers citing papers by John Common

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013198
2 2013181
3 2017160
4 2007158
5 2011121
6 2021112
7 2021106
8 201164
9 202262
10 201961
11 198352
12 200251
13 202049
14 200548
15 200543
16 201743
17 202038
18 201336
19 201935
20 202333

About John Common

John Common is a scholar working on Dermatology, Molecular Biology, Cell Biology, Immunology and Allergy and Urology, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (25 papers), Skin and Cellular Biology Research (15 papers), Allergic Rhinitis and Sensitization (10 papers), Connexins and lens biology (8 papers), Hair Growth and Disorders (7 papers), Asthma and respiratory diseases (6 papers), RNA regulation and disease (4 papers) and Wound Healing and Treatments (4 papers). The work is most often cited by research in Dermatology (789 citations), Immunology and Allergy (338 citations), Rehabilitation (140 citations), Urology (125 citations) and Cell Biology (274 citations). John Common has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include E. Birgitte Lane, Li Fang Koh, Declan P. Lunny, Ian C. Mackenzie, Kim Piper, Lisa J. Harper, Farida Fortune, David P. Kelsell, Thomas L. Dawson and Walter T. McFall. Their work appears in journals such as Journal of Investigative Dermatology, British Journal of Dermatology, Journal of Allergy and Clinical Immunology, Experimental Dermatology and Stem Cell Research.

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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