Dachuan Lin

2.1k citations
38 papers · 1.5k · h-index 21

Impact in

Papers in

Dachuan Lin

35 papers receiving 1.5k citations

Peers

Dachuan Lin
Comparison fields: 5 of 106
  • Molecular Medicine 697
  • Endocrinology 291
  • Clinical Biochemistry 115
  • Animal Science and Zoology 180
  • Infectious Diseases 297
Replace Saeed Khan with:
Saeed Khan United States
José Ramos-Vivas Spain
Mahmoud Mabrok Egypt
Swaminath Srinivas United States
Sion Bayliss United Kingdom
J. Eugene LeClerc United States
Michael S. M. Brouwer Netherlands
Seth W. Dickey United States
Masahiro Asakura Japan
Line Elnif Thomsen Denmark
Dachuan Lin relative to Saeed Khan United States Saeed Khan's profile →
Citations per field
00.5×8.2×
Saeed Khan · 1×
Citations per year

Countries citing papers authored by Dachuan Lin

Since Specialization
Citations

This map shows the geographic impact of Dachuan Lin'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 Dachuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dachuan Lin more than expected).

Fields of papers citing papers by Dachuan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dachuan Lin. 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 Dachuan Lin. The network helps show where Dachuan Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Dachuan Lin, 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 Dachuan Lin Line = papers co-authored together Dachuan Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993204
2 2015192
3 2018184
4 202089
5 201877
6 201270
7 201566
8 201862
9 201460
10 201256
11 201747
12 202044
13 201541
14 202337
15 202035
16 200135
17 201632
18 201827
19 201827
20 201625

About Dachuan Lin

Dachuan Lin is a scholar working on Molecular Medicine, Infectious Diseases, Molecular Biology, Endocrinology and Food Science, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Salmonella and Campylobacter epidemiology (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Vibrio bacteria research studies (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Bacterial biofilms and quorum sensing (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Molecular Medicine (697 citations), Endocrinology (291 citations), Clinical Biochemistry (115 citations), Animal Science and Zoology (180 citations) and Infectious Diseases (297 citations). Dachuan Lin has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Sheng Chen, Edward Wai‐Chi Chan, Ruichao Li, Ning Dong, Rong Zhang, H. An, Michael T. Morrissey, Jianbing Wu, Kaichao Chen and Miaomiao Xie. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology, Veterinary Microbiology, Frontiers in Cellular and Infection Microbiology and Tuberculosis.

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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