John P. Salerno

1.4k total citations · 1 hit paper
33 papers, 949 citations indexed

About

John P. Salerno is a scholar working on Social Psychology, Sociology and Political Science and General Health Professions. According to data from OpenAlex, John P. Salerno has authored 33 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Social Psychology, 10 papers in Sociology and Political Science and 9 papers in General Health Professions. Recurrent topics in John P. Salerno's work include LGBTQ Health, Identity, and Policy (18 papers), Reproductive Health and Technologies (7 papers) and Racial and Ethnic Identity Research (5 papers). John P. Salerno is often cited by papers focused on LGBTQ Health, Identity, and Policy (18 papers), Reproductive Health and Technologies (7 papers) and Racial and Ethnic Identity Research (5 papers). John P. Salerno collaborates with scholars based in United States, Germany and United Kingdom. John P. Salerno's co-authors include Karina A. Gattamorta, Natasha D. Williams, Jessica N. Fish, Jackson Devadas, Bradley O. Boekeloo, Long Doan, Liana C. Sayer, Cho‐Hee Shrader, Angel B. Algarin and Ji-Young Lee and has published in prestigious journals such as Psychiatry Research, Drug and Alcohol Dependence and Journal of Adolescence.

In The Last Decade

John P. Salerno

30 papers receiving 924 citations

Hit Papers

LGBTQ populations: Psychologically vulnerable communities... 2020 2026 2022 2024 2020 50 100 150 200

Peers

John P. Salerno
Comparison fields: 5 of 92
  • Social Psychology 557
  • Clinical Psychology 378
  • General Health Professions 234
  • Sociology and Political Science 219
  • Gender Studies 140
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Citations per field, relative to John P. Salerno
John P. Salerno · 1×
Citations per year, relative to John P. Salerno
John P. Salerno · 1×

Countries citing papers authored by John P. Salerno

Since Specialization
Citations

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

Fields of papers citing papers by John P. Salerno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Salerno

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Salerno. A scholar is included among the top collaborators of John P. Salerno 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 John P. Salerno. John P. Salerno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 0
3 11
4 13
5 10
6 25
7 19
8 5
9 27
10 2
11 84
12 10
13 35
14
LGBTQ populations: Psychologically vulnerable communities in the COVID-19 pandemic. breakdown →
248
15 10
16 17
17 14
18 16
19 14
20 1

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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