Robert Wynn

15.8k citations
300 papers · 7.9k indexed · 2 hit papers · h-index 45

Robert Wynn

287 papers receiving 7.7k citations

Hit Papers

Study of Telomere Length Reveals Rapid Aging of Human Mar...6372004202620112018200400600

Peers

Robert Wynn
Comparison fields: 5 of 155
  • Genetics 1.8k
  • Hematology 1.5k
  • Physiology 2.7k
  • Immunology 970
  • Epidemiology 1.5k
Replace Paul Harmatz with:
Paul Harmatz United States
Romain K. Gherardi France
Paula K. Roberson United States
Holger Jon Møller Denmark
Akihiro Yachie Japan
Rita De Vos Belgium
Kazumoto Iijima Japan
J. Brice Weinberg United States
Laurence A. Boxer United States
Shigeru Tsuchiya Japan
Robert Wynn relative to Paul Harmatz United States Paul Harmatz's profile →
Citations per field
00.5×2.9×
Paul Harmatz · 1×
Citations per year

Countries citing papers authored by Robert Wynn

Since Specialization
Citations

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

Fields of papers citing papers by Robert Wynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20253
4 20250
5 20250
6 20244
7 202339
8 202310
9 20232
10 20228
11 202112
12 202110
13 202112
14 20206
15 201721
16 201399
17
The top 50 prescription medications dispensed in pharmacies in 2001.
20034
18
The new COX-2 inhibitors: rofecoxib (Vioxx) and celecoxib (Celebrex).
20014
19 20003
20 199512

About Robert Wynn

Robert Wynn is a scholar working on Hematology, Physiology, Genetics, Immunology and Oncology, having authored 300 papers that have together received 7.9k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (63 papers), Hematopoietic Stem Cell Transplantation (49 papers), Acute Lymphoblastic Leukemia research (23 papers), Cytomegalovirus and herpesvirus research (21 papers), Virus-based gene therapy research (20 papers), Acute Myeloid Leukemia Research (18 papers), Autoimmune and Inflammatory Disorders Research (17 papers) and Immunodeficiency and Autoimmune Disorders (16 papers). The work is most often cited by research in Genetics (1.8k citations), Hematology (1.5k citations), Physiology (2.7k citations), Immunology (970 citations) and Epidemiology (1.5k citations). Robert Wynn has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include J. E. Wraith, Ilaria Bellantuono, Leslie J. Fairbairn, Brian Bigger, Simon Jones, Jaap Jan Boelens, M. Baxter, Simon N. Jowitt, Paul Veys and Kia Langford‐Smith. Their work appears in journals such as Blood, Molecular Genetics and Metabolism, British Journal of Haematology, Bone Marrow Transplantation and Biology of Blood and Marrow Transplantation.

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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