Tin Yau Pang

917 citations
14 papers · 511 indexed · h-index 10
    • Plant nutrient uptake and metabolism 3
    • Plant Molecular Biology Research 2
    • Protein Structure and Dynamics 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Genomics and Phylogenetic Studies 3
    • Gene Regulatory Network Analysis 2
    • Evolution and Genetic Dynamics 4
    • Bacterial Genetics and Biotechnology 3

Tin Yau Pang

12 papers receiving 503 citations

Peers

Tin Yau Pang
Comparison fields: 5 of 77
  • Plant Science 223
  • Endocrinology 30
  • Molecular Biology 326
  • Genetics 109
  • Molecular Medicine 10
Replace Louise J. Johnson with:
Louise J. Johnson United Kingdom
Olga K. Kamneva United States
Dor Russ United States
William G. Alexander United States
Matthew B. Biggs United States
Mandy Dowson-Day United Kingdom
G. Weyens Belgium
Sylvia Voegeli Switzerland
Sébastien Bélanger United States
Lore Cloots Belgium
Tin Yau Pang relative to Louise J. Johnson United Kingdom Louise J. Johnson's profile →
Citations per field
00.5×4.8×
Louise J. Johnson · 1×
Citations per year

Countries citing papers authored by Tin Yau Pang

Since Specialization
Citations

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

Fields of papers citing papers by Tin Yau Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tin Yau Pang. 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 Tin Yau Pang. The network helps show where Tin Yau Pang may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 202433
2 20235
3 20230
4 202211
5 202136
6 2020200
7 20201
8 201822
9 201734
10 201553
11 201325
12 201112
13 200979
14 20060

About Tin Yau Pang

Tin Yau Pang is a scholar working on Endocrinology, Genetics and Molecular Biology, having authored 14 papers that have together received 511 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Evolution and Genetic Dynamics (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Bacterial Genetics and Biotechnology (3 papers), Plant nutrient uptake and metabolism (3 papers), Genomics and Phylogenetic Studies (3 papers), Gene Regulatory Network Analysis (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Plant Science (223 citations), Endocrinology (30 citations) and Molecular Biology (326 citations). Tin Yau Pang has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Sergei Maslov, Martin J. Lercher, Purushottam D. Dixit, Wolf B. Frommer, Sandeep Krishna, Kim Sneppen, Ji Yun Kim, Michael M. Wudick, Margaret Bezrutczyk and Li‐Qing Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Computational Biology, PLANT PHYSIOLOGY, Cell Host & Microbe and Genetics.

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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