Jay W. Smith

19 papers receiving 1.7k citations

Peers

Jay W. Smith
Comparison fields: 5 of 121
  • Geriatrics and Gerontology 129
  • Toxicology 122
  • Pharmacology 428
  • Physiology 70
  • Immunology 275
Replace Anita Conforti with:
Anita Conforti Italy
W. Vetter Switzerland
Stefan Russmann Switzerland
E. G. Hahn Germany
Xavier Vidal Spain
Martha Lappas Australia
Paul Desmond Australia
Sonia Radice Italy
Manuel Haschke Switzerland
Ralph E. Cutler United States
Jay W. Smith relative to Anita Conforti Italy Anita Conforti's profile →
Citations per field
00.5×8.8×
Anita Conforti · 1×
Citations per year

Countries citing papers authored by Jay W. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jay W. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jay W. Smith, 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 W. Smith Line = papers co-authored together Jay W. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971312
2 1966248
3 1966240
4 1971238
5 1973236
6 1971194
7 1984164
8
Emotional impairment in internal medicine house staff. Results of a national survey.
198680
9 197871
10 197967
11 196958
12 199628
13 198315
14 19737
15 19737
16 19996
17 19946
18 19664
19 19804
20
Social Implications of
19761

About Jay W. Smith

Jay W. Smith is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Clinical Psychology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (2 papers), Adenosine and Purinergic Signaling (2 papers), Fungal Infections and Studies (2 papers), Psychiatric care and mental health services (2 papers), Psychotherapy Techniques and Applications (2 papers), Mental Health and Psychiatry (2 papers), Acute Myocardial Infarction Research (2 papers) and Schizophrenia research and treatment (2 papers). The work is most often cited by research in Geriatrics and Gerontology (129 citations), Toxicology (122 citations), Pharmacology (428 citations), Physiology (70 citations) and Immunology (275 citations). Jay W. Smith has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Charles W. Parker, Alton L. Steiner, Leighton E. Cluff, Joseph E. Johnson, W. Marcus Newberry, Gregory M. Marcus, Ruth Serokman, William T. Newton, Bernard M. Jaffe and Robert Thoburn. Their work appears in journals such as Journal of Clinical Investigation, Journal of Mental Health, CHEST Journal, Science and New England Journal of Medicine.

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.

Explore authors with similar magnitude of impact