Hai-Meng Tan

958 citations
25 papers · 767 · h-index 15

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 6
    • RNA and protein synthesis mechanisms 3
    • Microbial bioremediation and biosurfactants 6

Hai-Meng Tan

25 papers receiving 719 citations

Peers

Hai-Meng Tan
Comparison fields: 5 of 70
  • Microbiology 193
  • Animal Science and Zoology 228
  • Pollution 138
  • Food Science 148
  • Virology 27
Replace Fazal Mahmood with:
Fazal Mahmood Pakistan
Fangkun Wang China
Zhanqin Zhao China
H. Karatzias Greece
J. E. Sander United States
Lynn Hinckley United States
I. Shakuntala India
Cindy Snauwaert Belgium
Sergio A. Bucarey Chile
Alena Lorencová Czechia
Hai-Meng Tan relative to Fazal Mahmood Pakistan Fazal Mahmood's profile →
Citations per field
00.5×2.7×
Fazal Mahmood · 1×
Citations per year

Countries citing papers authored by Hai-Meng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hai-Meng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai-Meng Tan. 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 Hai-Meng Tan. The network helps show where Hai-Meng Tan may publish in the future.

Co-authors

The 24 scholars most cited alongside Hai-Meng Tan, 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 Hai-Meng Tan Line = papers co-authored together Hai-Meng Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005141
2 2007128
3 200073
4 200259
5 199358
6 200644
7 198931
8 199428
9 200227
10 198827
11 199421
12 199918
13 199918
14 199018
15 199617
16 200011
17 199310
18 200210
19 19996
20 20005

About Hai-Meng Tan

Hai-Meng Tan is a scholar working on Molecular Biology, Pollution, Microbiology, Ecology and Genetics, having authored 25 papers that have together received 767 indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Microbial infections and disease research (5 papers), Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (3 papers), Animal Nutrition and Physiology (3 papers), Probiotics and Fermented Foods (3 papers) and Algal biology and biofuel production (2 papers). The work is most often cited by research in Microbiology (193 citations), Animal Science and Zoology (228 citations), Pollution (138 citations), Food Science (148 citations) and Virology (27 citations). Hai-Meng Tan has collaborated with scholars based in Singapore, Switzerland and United Kingdom. Frequent co-authors include Alex Yeow-Lim Teo, Joachim Frey, Kim-Lee Chua, Karen P. Fong, J. R. Mason, Bin Huang, Jimmy Kwang, Y. K. Lee, Hsin‐Yao Tang and Christopher L. Joannou. Their work appears in journals such as Gene, Veterinary Microbiology, Biochemical and Biophysical Research Communications, World Journal of Microbiology and Biotechnology and Journal of Bacteriology.

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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