John O’Gorman

5.1k citations
51 papers · 1.3k · h-index 17

Impact in

Papers in

John O’Gorman

47 papers receiving 1.3k citations

Peers

John O’Gorman
Comparison fields: 5 of 134
  • Biological Psychiatry 50
  • Physiology 371
  • Pathology and Forensic Medicine 214
  • Neurology 100
  • Pharmacology 136
Replace Silvia Pellegrini with:
Silvia Pellegrini Italy
Malte Christian Claussen Switzerland
Anna Maria Colangelo Italy
Musaad A. Alshammari Saudi Arabia
Christine Peterson United States
Elizabeth P. Crowe United States
Yu Nakamura Japan
Veronica Ramirez United States
Daiki Setoyama Japan
M. Paola Castelli Italy
John O’Gorman relative to Silvia Pellegrini Italy Silvia Pellegrini's profile →
Citations per field
00.5×10×16×
Silvia Pellegrini · 1×
Citations per year

Countries citing papers authored by John O’Gorman

Since Specialization
Citations

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

Fields of papers citing papers by John O’Gorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016136
2 1984122
3
Psychological Testing and Assessment
2006109
4 2001105
5 202198
6 199787
7 201386
8 201774
9 200373
10 201373
11 201359
12 202355
13 201348
14 201840
15 201532
16 202326
17 202416
18 200012
19 20169
20 20189

About John O’Gorman

John O’Gorman is a scholar working on Physiology, Statistics and Probability, Pathology and Forensic Medicine, Molecular Biology and Economics and Econometrics, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Statistical Methods in Clinical Trials (7 papers), Multiple Sclerosis Research Studies (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Advanced Causal Inference Techniques (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). The work is most often cited by research in Biological Psychiatry (50 citations), Physiology (371 citations), Pathology and Forensic Medicine (214 citations), Neurology (100 citations) and Pharmacology (136 citations). John O’Gorman has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include David Shum, Brett Myors, Katherine Dawson, Mark Novas, Samantha Budd Haeberlein, Leslie Williams, Jeff Sevigny, Alvydas Mikulskis, J L Ferrero and Robert J. Fox. Their work appears in journals such as Alzheimer s & Dementia, Neurology, Journal of Neurology, Clinical Therapeutics and Medicine & Science in Sports & Exercise.

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