P. Early
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
- Immunology 11
- T-cell and B-cell Immunology 11
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Leroy Hood (10 shared papers)Mark M. Davis (6 shared papers)Kathryn L Calame (4 shared papers)Henry V. Huang (1 shared paper)Irving L. Weissman (4 shared papers)Donna L. Livant (3 shared papers)Rolf H. Joho (2 shared papers)David B. Kaback (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cell (3 papers)Nature (2 papers)Molecular and Cellular Biology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
P. Early
13 papers receiving 2k citations
P. Early's Hit Papers
Peers
Comparison fields: 5 of 63
- Immunology 1.1k
- Radiology, Nuclear Medicine and Imaging 647
- Molecular Biology 1k
- Pathology and Forensic Medicine 115
- Hematology 75
Countries citing papers authored by P. Early
This map shows the geographic impact of P. Early'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 P. Early with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Early more than expected).
Fields of papers citing papers by P. Early
This network shows the impact of papers produced by P. Early. 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 P. Early. The network helps show where P. Early may publish in the future.
Co-authors
The 18 scholars most cited alongside P. Early, 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 | Two mRNAs can be produced from a single immunoglobulin μ gene by alternative RNA processing pathways Hit paper breakdown → | 1980 | 768 |
| 2 | An immunoglobulin heavy chain variable region gene is generated from three segments of DNA: VH, D and JH Hit paper breakdown → | 1980 | 751 |
| 3 | 1980 | 274 | |
| 4 | 1981 | 123 | |
| 5 | 1979 | 118 | |
| 6 | 1980 | 63 | |
| 7 | 1980 | 58 | |
| 8 | 1981 | 56 | |
| 9 | 1980 | 50 | |
| 10 | 1982 | 18 | |
| 11 | 1981 | 12 | |
| 12 | 1979 | 10 | |
| 13 | 1974 | 6 |
About P. Early
P. Early is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Ecology and Nuclear Energy and Engineering, having authored 13 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Genomics and Chromatin Dynamics (5 papers), Bacteriophages and microbial interactions (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Immunology (1.1k citations), Radiology, Nuclear Medicine and Imaging (647 citations), Molecular Biology (1k citations), Pathology and Forensic Medicine (115 citations) and Hematology (75 citations). P. Early has collaborated with scholars based in United States and Belgium. Frequent co-authors include Leroy Hood, Mark M. Davis, Kathryn L Calame, Henry V. Huang, Irving L. Weissman, Donna L. Livant, Rolf H. Joho, David B. Kaback, Norman Davidson and Randolph Wall. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Nature, Molecular and Cellular Biology and Biochemical and Biophysical Research Communications.
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.