Ding Jun Jin
Impact in
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
- Co-authors
- Carol A. Gross (4 shared papers)Julio E. Cabrera (9 shared papers)Yan Zhou (14 shared papers)Cédric Cagliero (10 shared papers)Anne‐Marie Hansen (5 shared papers)Tim Durfee (3 shared papers)Frederick R. Blattner (3 shared papers)Huijun Zhi (6 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)Journal of Bacteriology (8 papers)Nucleic Acids Research (7 papers)Journal of Molecular Biology (5 papers)Methods in enzymology on CD-ROM/Methods in enzymology (4 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Ding Jun Jin
69 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Genetics 1.9k
- Molecular Medicine 322
- Endocrinology 262
- Molecular Biology 2.6k
- Ecology 860
Countries citing papers authored by Ding Jun Jin
This map shows the geographic impact of Ding Jun Jin'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 Ding Jun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Jun Jin more than expected).
Fields of papers citing papers by Ding Jun Jin
This network shows the impact of papers produced by Ding Jun Jin. 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 Ding Jun Jin. The network helps show where Ding Jun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Jun Jin, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping and sequencing of mutations in the Escherichia colirpoB gene that lead to rifampicin resistance Hit paper breakdown → | 1988 | 570 |
| 2 | 2007 | 295 | |
| 3 | 1998 | 187 | |
| 4 | 2005 | 156 | |
| 5 | 2015 | 155 | |
| 6 | 2003 | 138 | |
| 7 | 2009 | 100 | |
| 8 | 2013 | 98 | |
| 9 | 2011 | 90 | |
| 10 | 2005 | 85 | |
| 11 | 2000 | 84 | |
| 12 | 2014 | 84 | |
| 13 | 2006 | 69 | |
| 14 | 2001 | 64 | |
| 15 | 2007 | 61 | |
| 16 | 1998 | 53 | |
| 17 | 2013 | 52 | |
| 18 | 1996 | 51 | |
| 19 | 2007 | 50 | |
| 20 | 2005 | 49 |
About Ding Jun Jin
Ding Jun Jin is a scholar working on Genetics, Ecology, Molecular Biology, Structural Biology and Endocrinology, having authored 69 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (44 papers), RNA and protein synthesis mechanisms (40 papers), Bacteriophages and microbial interactions (21 papers), RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (6 papers), Enzyme Structure and Function (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Genetics (1.9k citations), Molecular Medicine (322 citations), Endocrinology (262 citations), Molecular Biology (2.6k citations) and Ecology (860 citations). Ding Jun Jin has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Carol A. Gross, Julio E. Cabrera, Yan Zhou, Cédric Cagliero, Anne‐Marie Hansen, Tim Durfee, Frederick R. Blattner, Huijun Zhi, Maxim V. Sukhodolets and Mingzhu Liu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Nucleic Acids Research, Journal of Molecular Biology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.