Tsai-Ming Lu

628 citations
20 papers · 400 · h-index 11

Impact in

Papers in

    • Developmental Biology and Gene Regulation 5
    • Genomics and Phylogenetic Studies 3
    • Protist diversity and phylogeny 3
    • Bone Metabolism and Diseases 2

Tsai-Ming Lu

18 papers receiving 397 citations

Peers

Tsai-Ming Lu
Comparison fields: 5 of 87
  • Aging 10
  • Paleontology 38
  • Aquatic Science 29
  • Ecology 77
  • Molecular Biology 198
Replace Rebecca F. Furlong with:
Rebecca F. Furlong United Kingdom
Chang‐Bae Kim South Korea
Nicholas Treen Japan
Saška Lipovšek Slovenia
Andrew Calcino Austria
Aurélien Guillou France
Tera C. Levin United States
Martine Le Gouar France
Heather Suzanne Bruce United States
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Tsai-Ming Lu relative to Rebecca F. Furlong United Kingdom Rebecca F. Furlong's profile →
Citations per field
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Rebecca F. Furlong · 1×
Citations per year

Countries citing papers authored by Tsai-Ming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tsai-Ming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsai-Ming Lu. 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 Tsai-Ming Lu. The network helps show where Tsai-Ming Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201772
2 201265
3 201863
4 201544
5 201734
6 201822
7 201919
8 201617
9 202115
10 201412
11 202311
12 202111
13 20257
14 20253
15 20252
16 20191
17 20211
18 20241
19 20250
20 20240

About Tsai-Ming Lu

Tsai-Ming Lu is a scholar working on Paleontology, Molecular Biology, Ecology, Biotechnology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 400 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Genomics and Phylogenetic Studies (3 papers), Protist diversity and phylogeny (3 papers), Bone Metabolism and Diseases (2 papers), Genetic diversity and population structure (2 papers), Marine Ecology and Invasive Species (2 papers), Parasite Biology and Host Interactions (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Aging (10 citations), Paleontology (38 citations), Aquatic Science (29 citations), Ecology (77 citations) and Molecular Biology (198 citations). Tsai-Ming Lu has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Jr‐Kai Yu, Yi‐Jyun Luo, Hidetaka Furuya, Noriyuki Satoh, Miyuki Kanda, Jeong‐Hwan Kim, Zbyněk Kozmík, Vladimír Soukup, Cecilia Conaco and Chuya Shinzato. Their work appears in journals such as EvoDevo, Nature Communications, Nature Ecology & Evolution, Zoological Letters and Scientific Reports.

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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