John Common

4.2k citations
68 papers · 2.0k · h-index 25

Impact in

Papers in

John Common

64 papers receiving 2.0k citations

Peers

John Common
Comparison fields: 5 of 110
  • Dermatology 817
  • Immunology and Allergy 410
  • Rehabilitation 145
  • Urology 118
  • Cell Biology 281
Replace Gürkan Kaya with:
Gürkan Kaya Switzerland
Chang‐Yi Cui United States
José Álvaro Pereira Gomes Brazil
Teruki Dainichi Japan
Yasushi Suga Japan
Hong Wan United Kingdom
Richard B. Presland United States
B. M. Henz Germany
Yvonne Marquardt Germany
Dong‐Youn Lee South Korea
John Common relative to Gürkan Kaya Switzerland Gürkan Kaya's profile →
Citations per field
00.5×2.9×
Gürkan Kaya · 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 2013196
2 2013171
3 2007157
4 2017152
5 2011111
6 2021101
7 202189
8 201961
9 201160
10 202252
11 198351
12 200247
13 202046
14 200544
15 200541
16 201738
17 202036
18 201933
19 201333
20 202329

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 2.0k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (29 papers), Allergic Rhinitis and Sensitization (17 papers), Skin and Cellular Biology Research (16 papers), Connexins and lens biology (8 papers), Hair Growth and Disorders (8 papers), Asthma and respiratory diseases (7 papers), Food Allergy and Anaphylaxis Research (5 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Dermatology (817 citations), Immunology and Allergy (410 citations), Rehabilitation (145 citations), Urology (118 citations) and Cell Biology (281 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, Farida Fortune, Lisa J. Harper, Kim Piper, Ian C. Mackenzie, David P. Kelsell, Walter T. McFall and Edel A. O’Toole. Their work appears in journals such as Journal of Investigative Dermatology, British Journal of Dermatology, Journal of Allergy and Clinical Immunology, Stem Cell Research and Experimental Dermatology.

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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