J Ling

1.2k citations
56 papers · 921 indexed · h-index 17

J Ling

52 papers receiving 843 citations

Peers

J Ling
Comparison fields: 5 of 97
  • Molecular Medicine 358
  • Endocrinology 206
  • Applied Microbiology and Biotechnology 52
  • Food Science 337
  • Clinical Biochemistry 114
Replace Fernando Garcı́a-Garrote with:
Fernando Garcı́a-Garrote Spain
Shohreh Farshad Iran
Henry Fraimow United States
R. P. Mouton Netherlands
Sadaf Qaiyumi United States
Anan Chongthaleong Thailand
G. Hedin Sweden
A. Vatopoulos Greece
Cheng-Hsun Chiu Taiwan
V.O. Rotimi Kuwait
J Ling relative to Fernando Garcı́a-Garrote Spain Fernando Garcı́a-Garrote's profile →
Citations per field
00.5×1.5×1.9×
Fernando Garcı́a-Garrote · 1×
Citations per year

Countries citing papers authored by J Ling

Since Specialization
Citations

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

Fields of papers citing papers by J Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20239
5 20235
6 202312
7 20227
8 202238
9 20171
10 201311
11 20129
12 200912
13 20039
14 200117
15 199936
16 19971
17
Pathogenic Vibrio spp. in the Sea Bream, Sparus sarba
19958
18 199316
19 198821
20 198811

About J Ling

J Ling is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Food Science and Clinical Biochemistry, having authored 56 papers that have together received 921 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Salmonella and Campylobacter epidemiology (15 papers), Diabetes Management and Research (6 papers), Vibrio bacteria research studies (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Escherichia coli research studies (4 papers) and Listeria monocytogenes in Food Safety (4 papers). The work is most often cited by research in Molecular Medicine (358 citations), Endocrinology (206 citations), Applied Microbiology and Biotechnology (52 citations), Food Science (337 citations) and Clinical Biochemistry (114 citations). J Ling has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include A. F. B. Cheng, G.L. French, Edward Wai‐Chi Chan, Yujuan Jin, K M Kam, Thomas K.�W. Ling, P. Y. Chau, S. Donnan, M. Farrington and Elaine Chow. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Epidemiology and Infection, Journal of Clinical Pathology and Journal of Infection.

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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