T. M. Lim

1.3k citations
18 papers · 862 · h-index 13

Impact in

    • Vibrio bacteria research studies
    • Aquaculture Nutrition and Growth
    • Fish Biology and Ecology Studies

Papers in

    • Identification and Quantification in Food 2
    • Advanced biosensing and bioanalysis techniques 2
    • Bacteriophages and microbial interactions 2

T. M. Lim

18 papers receiving 834 citations

Peers

T. M. Lim
Comparison fields: 5 of 83
  • Endocrinology 142
  • Aquatic Science 157
  • Immunology 285
  • Physiology 45
  • Neurology 133
Replace Fang Han with:
Fang Han China
Tracy S. Peterson United States
Heping Dai China
Brigitte Walderich Germany
Liliana Jaso‐Friedmann United States
Oliver W. Stockhammer Netherlands
Lu Xia China
Elisa Casadei United States
Danqi Lu China
T. M. Lim relative to Fang Han China Fang Han's profile →
Citations per field
00.5×6.5×
Fang Han · 1×
Citations per year

Countries citing papers authored by T. M. Lim

Since Specialization
Citations

This map shows the geographic impact of T. M. Lim'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 T. M. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. M. Lim more than expected).

Fields of papers citing papers by T. M. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. M. Lim. 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 T. M. Lim. The network helps show where T. M. Lim may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005171
2 2000170
3 200095
4 199184
5
RAPD analysis: an efficient method of DNA fingerprinting in fishes.
199383
6 200158
7 199844
8 199638
9 200228
10 200827
11 200522
12 199615
13 201415
14 20206
15 20043
16
Coligranuloma (Hjarre's disease) in a captive juvenile Philippine eagle (Pithecophaga jefferyi)
19981
17
Microfluidic System for Extracting Nucleic Acids – From DNA to RNA
20051
18 20061

About T. M. Lim

T. M. Lim is a scholar working on Molecular Biology, Ecology, Endocrinology, Immunology and Neurology, having authored 18 papers that have together received 862 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (3 papers), Aquaculture disease management and microbiota (3 papers), Electrochemical sensors and biosensors (2 papers), Identification and Quantification in Food (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Carbon Nanotubes in Composites (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Endocrinology (142 citations), Aquatic Science (157 citations), Immunology (285 citations), Physiology (45 citations) and Neurology (133 citations). T. M. Lim has collaborated with scholars based in Singapore, United States and Netherlands. Frequent co-authors include Ka Yin Leung, Linfeng Xie, J. Walford, Woon‐Khiong Chan, V. P. E. Phang, Yanfei Xu, Jia He, Zhiyuan Gong, Keng-Ling Chua and Juan C. Troncoso. Their work appears in journals such as Microbiology, Aquaculture, Cell Reports, Developmental Dynamics and Cellular and Molecular Life Sciences.

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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