Jeffrey Johns

37 papers receiving 691 citations

Peers

Jeffrey Johns
Comparison fields: 5 of 116
  • Endocrine and Autonomic Systems 243
  • Pharmaceutical Science 64
  • Biological Psychiatry 24
  • Biochemistry 44
  • Drug Discovery 1
Replace Sandeep Sheth with:
Sandeep Sheth United States
Saki Nakamura Japan
Toru Endo Japan
Zenon Matuszak Poland
Vino C. Mody Sweden
Yuanyuan Ran China
Yazhuo Hu China
Mohammad Sheibani Iran
Kakali De India
Fabienne Peyrot France
Jeffrey Johns relative to Sandeep Sheth United States Sandeep Sheth's profile →
Citations per field
00.5×4.7×
Sandeep Sheth · 1×
Citations per year

Countries citing papers authored by Jeffrey Johns

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Johns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012137
2 201281
3 201757
4 201454
5 201640
6 201437
7 201828
8 202025
9 198522
10 201321
11 198819
12 201718
13 201917
14 202116
15 201415
16 201113
17 201912
18 201612
19 201412
20 202210

About Jeffrey Johns

Jeffrey Johns is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine, Dermatology, Organic Chemistry and Molecular Biology, having authored 40 papers that have together received 711 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (10 papers), Dermatology and Skin Diseases (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Antioxidant Activity and Oxidative Stress (4 papers), Multiple Sclerosis Research Studies (4 papers), Surfactants and Colloidal Systems (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (243 citations), Pharmaceutical Science (64 citations), Biological Psychiatry (24 citations), Biochemistry (44 citations) and Drug Discovery (1 citation). Jeffrey Johns has collaborated with scholars based in Thailand, United Kingdom and United States. Frequent co-authors include Nutjaree Pratheepawanit Johns, Suphat Subongkot, James A. Platts, Supatra Porasuphatana, Sam Salek, Aroonsri Priprem, Jaturat Kanpittaya, Cameron Hurst, Kittisak Sawanyawisuth and Russell F. Howe. Their work appears in journals such as British Journal of Dermatology, Multiple Sclerosis and Related Disorders, Journal of Molecular Liquids, Frontiers in Pharmacology and Journal of Pineal 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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