J. Pan
Impact in
Papers in
-
- RNA and protein synthesis mechanisms 4
- DNA and Nucleic Acid Chemistry 3
- Ecology 8
- Bacteriophages and microbial interactions 8
- Co-authors
- Ravi Dhar (9 shared papers)S M Weissman (15 shared papers)S Weissman (8 shared papers)M.L. Celma (6 shared papers)K. N. Subramanian (7 shared papers)B.Sayeeda Zain (5 shared papers)B. Thimmappaya (3 shared papers)P K Ghosh (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Journal of Biological Chemistry (4 papers)Cold Spring Harbor Symposia on Quantitative Biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Genomics (1 paper)
- Partner nations
- United StatesSpainChina
In The Last Decade
J. Pan
23 papers receiving 1.5k citations
J. Pan's Hit Papers
Peers
Comparison fields: 5 of 84
- Oncology 563
- Ecology 536
- Genetics 480
- Molecular Biology 1.1k
- Immunology 175
Countries citing papers authored by J. Pan
This map shows the geographic impact of J. Pan'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 J. Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Pan more than expected).
Fields of papers citing papers by J. Pan
This network shows the impact of papers produced by J. Pan. 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 J. Pan. The network helps show where J. Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Genome of Simian Virus 40 Hit paper breakdown → | 1978 | 848 |
| 2 | 1981 | 116 | |
| 3 | 1974 | 75 | |
| 4 | 1974 | 69 | |
| 5 | Comparison of the nucleotide sequence of the messenger RNA for the major structural protein of SV40 with the DNA sequence encoding the amino acids of the protein. | 1977 | 69 |
| 6 | Structural analysis of interspersed repetitive polymerase III transcription units in human DNA. | 1981 | 66 |
| 7 | 1974 | 64 | |
| 8 | 1977 | 54 | |
| 9 | 1977 | 54 | |
| 10 | 1987 | 48 | |
| 11 | 1977 | 47 | |
| 12 | 1990 | 44 | |
| 13 | 1983 | 43 | |
| 14 | 1986 | 40 | |
| 15 | 1974 | 39 | |
| 16 | 1996 | 37 | |
| 17 | 1977 | 34 | |
| 18 | 1974 | 28 | |
| 19 | 1977 | 23 | |
| 20 | 1977 | 17 |
About J. Pan
J. Pan is a scholar working on Molecular Biology, Ecology, Genetics, Immunology and Oncology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (8 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Polyomavirus and related diseases (5 papers), Plant Virus Research Studies (4 papers), Virus-based gene therapy research (4 papers), RNA and protein synthesis mechanisms (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Oncology (563 citations), Ecology (536 citations), Genetics (480 citations), Molecular Biology (1.1k citations) and Immunology (175 citations). J. Pan has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Ravi Dhar, S M Weissman, S Weissman, M.L. Celma, K. N. Subramanian, B.Sayeeda Zain, B. Thimmappaya, P K Ghosh, James T. Elder and Craig H. Duncan. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Cold Spring Harbor Symposia on Quantitative Biology, Proceedings of the National Academy of Sciences and Genomics.
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.