Te‐Cheng Pan
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Skin and Cellular Biology Research
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Cell Adhesion Molecules Research 28
-
- Muscle Physiology and Disorders 7
- Cancer-related gene regulation 4
- RNA Research and Splicing 4
- Co-authors
- Mon‐Li Chu (27 shared papers)Rupert Timpl (19 shared papers)Karlheinz Mann (8 shared papers)Rainer Deutzmann (5 shared papers)D. Conway (5 shared papers)Takako Sasaki (4 shared papers)Ruizhu Zhang (10 shared papers)Ulríke Mayer (3 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)European Journal of Biochemistry (6 papers)The EMBO Journal (3 papers)Genomics (3 papers)Journal of Investigative Dermatology (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Te‐Cheng Pan
44 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 97
- Immunology and Allergy 1.0k
- Cell Biology 656
- Cancer Research 407
- Genetics 617
- Molecular Biology 1.2k
Countries citing papers authored by Te‐Cheng Pan
This map shows the geographic impact of Te‐Cheng Pan'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 Te‐Cheng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te‐Cheng Pan more than expected).
Fields of papers citing papers by Te‐Cheng Pan
This network shows the impact of papers produced by Te‐Cheng Pan. 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 Te‐Cheng Pan. The network helps show where Te‐Cheng Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Te‐Cheng Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 191 | |
| 2 | 1990 | 162 | |
| 3 | 1988 | 148 | |
| 4 | 1993 | 144 | |
| 5 | 1989 | 135 | |
| 6 | 2003 | 120 | |
| 7 | 1995 | 111 | |
| 8 | 1994 | 102 | |
| 9 | 1998 | 87 | |
| 10 | 1993 | 87 | |
| 11 | 1990 | 77 | |
| 12 | 1995 | 68 | |
| 13 | 1992 | 64 | |
| 14 | 1998 | 59 | |
| 15 | 1992 | 59 | |
| 16 | 1995 | 59 | |
| 17 | 2011 | 58 | |
| 18 | 2007 | 56 | |
| 19 | 2002 | 55 | |
| 20 | 2013 | 52 |
About Te‐Cheng Pan
Te‐Cheng Pan is a scholar working on Immunology and Allergy, Molecular Biology, Genetics, Cancer Research and Biomaterials, having authored 44 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (28 papers), Connective tissue disorders research (14 papers), Protease and Inhibitor Mechanisms (9 papers), Collagen: Extraction and Characterization (9 papers), Muscle Physiology and Disorders (7 papers), Cancer-related gene regulation (4 papers), Cellular Mechanics and Interactions (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Immunology and Allergy (1.0k citations), Cell Biology (656 citations), Cancer Research (407 citations), Genetics (617 citations) and Molecular Biology (1.2k citations). Te‐Cheng Pan has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Mon‐Li Chu, Rupert Timpl, Karlheinz Mann, Rainer Deutzmann, D. Conway, Takako Sasaki, Ruizhu Zhang, Ulríke Mayer, R W Glanville and Han‐Jung Kuo. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, The EMBO Journal, Genomics and Journal of Investigative Dermatology.
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.