Tien‐Hung Lan
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Plant Molecular Biology Research
- Wheat and Barley Genetics and Pathology
-
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- CRISPR and Genetic Engineering 3
- Photosynthetic Processes and Mechanisms 2
- Pluripotent Stem Cells Research 1
-
- Chromosomal and Genetic Variations 4
- Light effects on plants 2
- Co-authors
- Andrew H. Paterson (6 shared papers)S. P. Kowalski (2 shared papers)Catherine Susan Katsar (2 shared papers)John Bowers (2 shared papers)Christine G. Elsik (2 shared papers)Chunxiao Jiang (2 shared papers)Yann‐Rong Lin (2 shared papers)Xavier Draye (2 shared papers)
- Journals
- Genetics (2 papers)The Plant Cell (2 papers)Nature Communications (1 paper)Advanced Science (1 paper)Current Opinion in Chemical Biology (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Tien‐Hung Lan
15 papers receiving 592 citations
Peers
Comparison fields: 5 of 57
- Plant Science 463
- Genetics 157
- Molecular Biology 295
- Ecology, Evolution, Behavior and Systematics 45
- Horticulture 2
Countries citing papers authored by Tien‐Hung Lan
This map shows the geographic impact of Tien‐Hung Lan'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 Tien‐Hung Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tien‐Hung Lan more than expected).
Fields of papers citing papers by Tien‐Hung Lan
This network shows the impact of papers produced by Tien‐Hung Lan. 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 Tien‐Hung Lan. The network helps show where Tien‐Hung Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tien‐Hung Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 228 | |
| 2 | 2000 | 114 | |
| 3 | 2001 | 64 | |
| 4 | 2000 | 61 | |
| 5 | 1996 | 59 | |
| 6 | 2022 | 45 | |
| 7 | 2000 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2025 | 7 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2012 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Tien‐Hung Lan
Tien‐Hung Lan is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Genetics and Biomedical Engineering, having authored 18 papers that have together received 618 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Photoreceptor and optogenetics research (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), CRISPR and Genetic Engineering (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Light effects on plants (2 papers), Molecular Communication and Nanonetworks (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Plant Science (463 citations), Genetics (157 citations), Molecular Biology (295 citations), Ecology, Evolution, Behavior and Systematics (45 citations) and Horticulture (2 citations). Tien‐Hung Lan has collaborated with scholars based in United States and Egypt. Frequent co-authors include Andrew H. Paterson, S. P. Kowalski, Catherine Susan Katsar, John Bowers, Christine G. Elsik, Chunxiao Jiang, Yann‐Rong Lin, Xavier Draye, Mark D. Burow and Robert Wright. Their work appears in journals such as Genetics, The Plant Cell, Nature Communications, Advanced Science and Current Opinion in Chemical Biology.
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.