Jeffrey Johns

56 total papers · 964 total citations
40 papers, 704 citations indexed

About

Jeffrey Johns is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Jeffrey Johns has authored 40 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrine and Autonomic Systems, 7 papers in Pathology and Forensic Medicine and 7 papers in Dermatology. Recurrent topics in Jeffrey Johns's work include Circadian rhythm and melatonin (10 papers), Dermatology and Skin Diseases (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Jeffrey Johns is often cited by papers focused on Circadian rhythm and melatonin (10 papers), Dermatology and Skin Diseases (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Jeffrey Johns collaborates with scholars based in Thailand, United Kingdom and United States. Jeffrey Johns's co-authors include Nutjaree Pratheepawanit Johns, Suphat Subongkot, James A. Platts, Supatra Porasuphatana, Sam Salek, Aroonsri Priprem, Jaturat Kanpittaya, Cameron Hurst, Kittisak Sawanyawisuth and Anuchita Moongngarm and has published in prestigious journals such as The Journal of Physical Chemistry, Journal of Agricultural and Food Chemistry and Applied Surface Science.

In The Last Decade

Jeffrey Johns

37 papers receiving 686 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jeffrey Johns	243	119	90	82	72	40	704
Yuqi Fan	162 0.7×	304 2.6×	62 0.7×	61 0.7×	19 0.3×	29	819
Mark A. Carew	72 0.3×	429 3.6×	121 1.3×	70 0.9×	37 0.5×	30	870
Saki Nakamura	107 0.4×	182 1.5×	40 0.4×	245 3.0×	50 0.7×	38	795
Farideh Javid	43 0.2×	127 1.1×	89 1.0×	83 1.0×	44 0.6×	57	704
Atefeh Amiri	57 0.2×	318 2.7×	68 0.8×	35 0.4×	97 1.3×	34	892
Ahmed A. Rahman	116 0.5×	215 1.8×	117 1.3×	56 0.7×	16 0.2×	52	796
Saber Ghazizadeh Darband	68 0.3×	360 3.0×	55 0.6×	64 0.8×	21 0.3×	20	760
Anna Di Stefano	42 0.2×	300 2.5×	53 0.6×	108 1.3×	74 1.0×	41	737
Ivo Juránek	30 0.1×	262 2.2×	73 0.8×	148 1.8×	80 1.1×	47	876
Kakali De	154 0.6×	322 2.7×	17 0.2×	171 2.1×	84 1.2×	32	897

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-authorship network of co-authors of Jeffrey Johns

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Johns. A scholar is included among the top collaborators of Jeffrey Johns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey Johns. Jeffrey Johns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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