Robert C. Green

64.6k citations
342 papers · 16.7k indexed · 3 hit papers · h-index 62

Robert C. Green

331 papers receiving 16.3k citations

Hit Papers

Understanding disease progression and improving Alzhe...324201320262017202150010001.5k

Peers

Robert C. Green
Comparison fields: 5 of 196
  • Psychiatry and Mental health 3.9k
  • Genetics 5.8k
  • Physiology 4.3k
  • Neurology 1.3k
  • Biological Psychiatry 305
Replace Lindsay A. Farrer with:
Lindsay A. Farrer United States
Teri A. Manolio United States
Cathie Sudlow United Kingdom
Albert Hofman Netherlands
Cornelia M. van Duijn Netherlands
V. Shane Pankratz United States
Walter A. Rocca United States
Naomi E. Allen United Kingdom
Alan B. Zonderman United States
Richard J. Kryscio United States
Robert C. Green relative to Lindsay A. Farrer United States Lindsay A. Farrer's profile →
Citations per field
00.5×1.5×
Lindsay A. Farrer · 1×
Citations per year

Countries citing papers authored by Robert C. Green

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4 20240
5 20241
6 20232
7 202311
8 202232
9 2021155
10 20215
11 202121
12 20217
13 202010
14 201929
15 20185
16 20188
17 20166
18 201577
19 201328
20 200820

About Robert C. Green

Robert C. Green is a scholar working on Genetics, Psychiatry and Mental health, Medical Terminology, Physiology and Neuropsychology and Physiological Psychology, having authored 342 papers that have together received 16.7k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (105 papers), Genomics and Rare Diseases (91 papers), Dementia and Cognitive Impairment Research (56 papers), Ethics in Clinical Research (40 papers), Alzheimer's disease research and treatments (39 papers), Genetic Associations and Epidemiology (31 papers), Cancer Genomics and Diagnostics (27 papers) and Health Systems, Economic Evaluations, Quality of Life (25 papers). The work is most often cited by research in Psychiatry and Mental health (3.9k citations), Genetics (5.8k citations), Physiology (4.3k citations), Neurology (1.3k citations) and Biological Psychiatry (305 citations). Robert C. Green has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Amy L. McGuire, J. Scott Roberts, Andrew J. Saykin, Heidi L. Rehm, Michael W. Weiner, Clifford R. Jack, Arthur W. Toga, John Q. Trojanowski, Leslie M. Shaw and William J. Jagust. Their work appears in journals such as Alzheimer s & Dementia, Genetics in Medicine, Genome Medicine, The American Journal of Human Genetics and Patient Education and Counseling.

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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