L-M Tseng
Impact in
-
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Lung Cancer Research Studies
- Peptidase Inhibition and Analysis
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 15
- HER2/EGFR in Cancer Research 9
- Cancer Treatment and Pharmacology 7
-
- Advanced Breast Cancer Therapies 6
- Lung Cancer Treatments and Mutations 3
- Brain Metastases and Treatment 3
- Co-authors
- MC Liu (2 shared papers)Tadeusz Pieńkowski (2 shared papers)L Roman (2 shared papers)Tania Szado (2 shared papers)Y-H Im (2 shared papers)Luca Gianni (2 shared papers)Javier Cortés (3 shared papers)Y.H. Park (4 shared papers)
- Journals
- Cancer Research (10 papers)Annals of Oncology (8 papers)Value in Health (1 paper)PubMed (1 paper)
- Partner nations
- TaiwanSouth KoreaUnited States
In The Last Decade
L-M Tseng
18 papers receiving 220 citations
Peers
Comparison fields: 5 of 33
- Oncology 194
- Radiology, Nuclear Medicine and Imaging 76
- Cancer Research 48
- Genetics 28
- Pulmonary and Respiratory Medicine 85
Countries citing papers authored by L-M Tseng
This map shows the geographic impact of L-M Tseng'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 L-M Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L-M Tseng more than expected).
Fields of papers citing papers by L-M Tseng
This network shows the impact of papers produced by L-M Tseng. 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 L-M Tseng. The network helps show where L-M Tseng may publish in the future.
Co-authors
The 25 scholars most cited alongside L-M Tseng, 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 | 2021 | 73 | |
| 2 | 2010 | 48 | |
| 3 | 2011 | 33 | |
| 4 | 2023 | 24 | |
| 5 | 2024 | 15 | |
| 6 | 2017 | 5 | |
| 7 | 2017 | 5 | |
| 8 | 2016 | 4 | |
| 9 | The surgical treatment and prognostic factors of well-differentiated thyroid cancers in Chinese patients: a 20-year experience. | 1996 | 3 |
| 10 | 2012 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2007 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2010 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2023 | 0 |
About L-M Tseng
L-M Tseng is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Molecular Biology, having authored 20 papers that have together received 223 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Cancer Treatment and Pharmacology (7 papers), Advanced Breast Cancer Therapies (6 papers), Breast Cancer Treatment Studies (5 papers), Lung Cancer Treatments and Mutations (3 papers), Brain Metastases and Treatment (3 papers), Tryptophan and brain disorders (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Oncology (194 citations), Radiology, Nuclear Medicine and Imaging (76 citations), Cancer Research (48 citations), Genetics (28 citations) and Pulmonary and Respiratory Medicine (85 citations). L-M Tseng has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include MC Liu, Tadeusz Pieńkowski, L Roman, Tania Szado, Y-H Im, Luca Gianni, Javier Cortés, Y.H. Park, G. Ross and Semiglazov Vf. Their work appears in journals such as Cancer Research, Annals of Oncology, Value in Health and PubMed.
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.