Ding Jun Jin

4.5k citations
69 papers · 3.5k indexed · 1 hit paper · h-index 32

Impact in

Papers in

    • Bacterial Genetics and Biotechnology 44
    • Bacteriophages and microbial interactions 21

Ding Jun Jin

69 papers receiving 3.5k citations

Hit Papers

Mapping and sequencing of mutations in the Escherichia colirpoB gene that lead to rifampicin resistance 1988 · 570 citations
5701988202620002013100200300400500

Peers

Ding Jun Jin
Comparison fields: 5 of 119
  • Genetics 1.9k
  • Molecular Medicine 322
  • Endocrinology 262
  • Molecular Biology 2.6k
  • Ecology 860
Replace Takeshi Mizuno with:
Takeshi Mizuno Japan
Jakob Møller‐Jensen Denmark
Harris D. Bernstein United States
Christophe Herman United States
Éric Massé Canada
David Z. Rudner United States
H A Nash United States
Ann Hochschild United States
Janine R. Maddock United States
Alexey J. Merz United States
Ding Jun Jin relative to Takeshi Mizuno Japan Takeshi Mizuno's profile →
Citations per field
00.5×1.7×
Takeshi Mizuno · 1×
Citations per year

Countries citing papers authored by Ding Jun Jin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ding Jun Jin Line = papers co-authored together Ding Jun Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
1988570
2 2007295
3 1998187
4 2005156
5 2015155
6 2003138
7 2009100
8 201398
9 201190
10 200585
11 200084
12 201484
13 200669
14 200164
15 200761
16 199853
17 201352
18 199651
19 200750
20 200549

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.

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