John D. Pendleton
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Developmental Neuroscience top 10%
Papers in
- Genetics 2
- Mesenchymal stem cell research 2
-
- Genomics and Chromatin Dynamics 1
- Genomics and Phylogenetic Studies 1
- Developmental Biology and Gene Regulation 1
- Co-authors
- Eva C. Guinan (2 shared papers)William Tse (2 shared papers)Jasprina N. Noordermeer (1 shared paper)Suzanna Lewis (1 shared paper)Corey S. Goodman (1 shared paper)Wei‐Yu Chen (1 shared paper)Gerald M. Rubin (1 shared paper)Casey Kopczynski (1 shared paper)
- Journals
- Agronomy Journal (2 papers)Proceedings of the National Academy of Sciences (1 paper)Transplantation (1 paper)Applied Optics (1 paper)
- Partner nations
- United States
In The Last Decade
John D. Pendleton
6 papers receiving 1.3k citations
John D. Pendleton's Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 991
- Developmental Neuroscience 62
- Hematology 169
- Rehabilitation 81
- Surgery 394
Countries citing papers authored by John D. Pendleton
This map shows the geographic impact of John D. Pendleton'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 D. Pendleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Pendleton more than expected).
Fields of papers citing papers by John D. Pendleton
This network shows the impact of papers produced by John D. Pendleton. 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 D. Pendleton. The network helps show where John D. Pendleton may publish in the future.
Co-authors
The 10 scholars most cited alongside John D. Pendleton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Suppression of allogeneic T-cell proliferation by human marrow stromal cells: implications in transplantation Hit paper breakdown → | 2003 | 1197 |
| 2 | 1998 | 91 | |
| 3 | Bone marrow-derived mesenchymal stem cells suppress t cell activation without inducing allogeneic anergy | 2000 | 22 |
| 4 | 1982 | 9 | |
| 5 | 1955 | 2 | |
| 6 | 1954 | 1 |
About John D. Pendleton
John D. Pendleton is a scholar working on Genetics, Molecular Biology, Computer Vision and Pattern Recognition, Instrumentation and Oncology, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (2 papers), Genomics and Chromatin Dynamics (1 paper), Genomics and Phylogenetic Studies (1 paper), Optical measurement and interference techniques (1 paper), Advanced Optical Sensing Technologies (1 paper), Advanced Measurement and Metrology Techniques (1 paper), Developmental Biology and Gene Regulation (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Genetics (991 citations), Developmental Neuroscience (62 citations), Hematology (169 citations), Rehabilitation (81 citations) and Surgery (394 citations). John D. Pendleton has collaborated with scholars based in United States. Frequent co-authors include Eva C. Guinan, William Tse, Jasprina N. Noordermeer, Suzanna Lewis, Corey S. Goodman, Wei‐Yu Chen, Gerald M. Rubin, Casey Kopczynski, Thomas L. Serano and Alan D. D’Andrea. Their work appears in journals such as Agronomy Journal, Proceedings of the National Academy of Sciences, Transplantation and Applied Optics.
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.