Jun‐Ming Tu

12 papers receiving 481 citations

Peers

Jun‐Ming Tu
Comparison fields: 5 of 51
  • Renewable Energy, Sustainability and the Environment 209
  • Ecology, Evolution, Behavior and Systematics 120
  • Molecular Biology 377
  • Biotechnology 41
  • Cellular and Molecular Neuroscience 83
Replace Paulo Silva with:
Paulo Silva Portugal
Waltraud Kofer Germany
Ji-Young Song South Korea
Alejandro F. Estrada Spain
Keith R. Roesler United States
Louisa V. Dever United Kingdom
Stefan Bennewitz Germany
Juan Cuello Spain
Nazmul H. Bhuiyan United States
Rosemary S. McAndrew United States
Jun‐Ming Tu relative to Paulo Silva Portugal Paulo Silva's profile →
Citations per field
00.5×3.8×
Paulo Silva · 1×
Citations per year

Countries citing papers authored by Jun‐Ming Tu

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Ming Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Ming Tu. 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 Jun‐Ming Tu. The network helps show where Jun‐Ming Tu may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200798
2 201169
3 200967
4 200661
5 200755
6 202140
7 202233
8 202121
9 200915
10 200915
11 200912
12 20077

About Jun‐Ming Tu

Jun‐Ming Tu is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Ecology, Evolution, Behavior and Systematics, Food Science and Pathology and Forensic Medicine, having authored 12 papers that have together received 493 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (7 papers), Algal biology and biofuel production (6 papers), Biocrusts and Microbial Ecology (3 papers), Tea Polyphenols and Effects (2 papers), Light effects on plants (2 papers), Microbial Metabolism and Applications (2 papers), Fermentation and Sensory Analysis (2 papers) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (209 citations), Ecology, Evolution, Behavior and Systematics (120 citations), Molecular Biology (377 citations), Biotechnology (41 citations) and Cellular and Molecular Neuroscience (83 citations). Jun‐Ming Tu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hugo Scheer, Kai‐Hong Zhao, Ming Zhou, Lutz A. Eichacker, Matthias Plöscher, Claudia Bubenzer, Ming Zhou, Stephan Böhm, Juan Zhang and Hui Liu. Their work appears in journals such as Journal of Biological Chemistry, FEBS Journal, Photosynthesis Research, Journal of the American Chemical Society and Proceedings of the National Academy of 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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