John Friend

896 total citations
17 papers, 625 citations indexed

About

John Friend is a scholar working on Cardiology and Cardiovascular Medicine, Clinical Psychology and Internal Medicine. According to data from OpenAlex, John Friend has authored 17 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Clinical Psychology and 3 papers in Internal Medicine. Recurrent topics in John Friend's work include Ovarian function and disorders (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Acute Myocardial Infarction Research (3 papers). John Friend is often cited by papers focused on Ovarian function and disorders (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Acute Myocardial Infarction Research (3 papers). John Friend collaborates with scholars based in United Kingdom and United States. John Friend's co-authors include Jennifer Langhinrichsen‐Rohling, V V Kakkar, Andrew Nicolaides, Maxine Clarke, J. T. G. Renney, Terence J. Wilkin, A. G. Prentice, Michele L. Ybarra, Marie Diener‐West and Mark Yates and has published in prestigious journals such as The Lancet, Cognition and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

John Friend

17 papers receiving 536 citations

Peers

John Friend
Comparison fields: 5 of 84
  • Internal Medicine 177
  • Clinical Psychology 173
  • Cardiology and Cardiovascular Medicine 133
  • Hematology 84
  • Reproductive Medicine 84
G. Larry Maxwell United States
Sharon Duffy Ireland
Pascal Auquier France
Rosa Díaz United States
Murat Yalçın Türkiye
Mariano Paternoster Italy
Jean-Claude Becker United States
Joseph M. White United States
Michael C. Murphy United States
Alan Ralph Australia
G. Larry Maxwell United States View profile →
Citations per field, relative to John Friend
John Friend · 1×
Citations per year, relative to John Friend
John Friend · 1×

Countries citing papers authored by John Friend

Since Specialization
Citations

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

Fields of papers citing papers by John Friend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Friend

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 27
2 43
3 137
4 13
5 10
6 21
7 15
8 23
9 58
10 3
11
Predicting baseball player performance.
16
12
Prescribing in pregnancy. Diabetes.
3
13 22
14 12
15 186
16 34
17 2

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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