Robert T. Long

3.5k citations
31 papers · 1.2k · h-index 18

Impact in

  • Genetics top 5%
    • Genetics and Neurodevelopmental Disorders
    • Genetic Associations and Epidemiology
    • Genomic variations and chromosomal abnormalities

Papers in

Robert T. Long

30 papers receiving 1.1k citations

Peers

Robert T. Long
Comparison fields: 5 of 105
  • Genetics 391
  • Behavioral Neuroscience 46
  • Psychiatry and Mental health 169
  • Biological Psychiatry 27
  • Reproductive Medicine 90
Replace Fong‐Ming Chang with:
Fong‐Ming Chang Taiwan
Svetlana Lajić Sweden
Akimasa Okuno Japan
Richard O’Reilly Canada
Patricia Kozuch United States
Wolfgang Siegfried Germany
Giovanni Biasi Italy
Indrani Halder United States
Radhika Gade‐Andavolu United States
Yuriko Sugawara Japan
Robert T. Long relative to Fong‐Ming Chang Taiwan Fong‐Ming Chang's profile →
Citations per field
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Fong‐Ming Chang · 1×
Citations per year

Countries citing papers authored by Robert T. Long

Since Specialization
Citations

This map shows the geographic impact of Robert T. Long'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 Robert T. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Long more than expected).

Fields of papers citing papers by Robert T. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert T. Long. 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 Robert T. Long. The network helps show where Robert T. Long may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert T. Long, 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 Robert T. Long Line = papers co-authored together Robert T. Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989303
2 2010205
3 196962
4 198956
5 199855
6 198555
7 196151
8 195846
9 201138
10 200038
11 201236
12 198833
13 197230
14 196726
15 200421
16 196021
17 201119
18 195917
19 200214
20 199813

About Robert T. Long

Robert T. Long is a scholar working on Genetics, Molecular Biology, Epidemiology, Reproductive Medicine and Surgery, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Congenital heart defects research (3 papers), Congenital Heart Disease Studies (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Genetics (391 citations), Behavioral Neuroscience (46 citations), Psychiatry and Mental health (169 citations), Biological Psychiatry (27 citations) and Reproductive Medicine (90 citations). Robert T. Long has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Judith L. Rapoport, Anjené Addington, Edward I. Ginns, Nitin Gogtay, Yohan Lee, Robert H. Edwards, Oliver Cope, David L. Pauls, Kenneth K. Kídd and Janice A. Egeland. Their work appears in journals such as The American Journal of Surgery, Cancer, Circulation, Journal of Bacteriology and European Journal of Human Genetics.

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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