An-Ping Lin
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Extracellular vesicles in disease
Papers in
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- Biochemical and Molecular Research 4
- Fungal and yeast genetics research 4
- Microbial Metabolic Engineering and Bioproduction 3
- Phosphodiesterase function and regulation 2
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- Enzyme Structure and Function 7
- Co-authors
- Ricardo C.T. Aguiar (8 shared papers)Daifeng Jiang (4 shared papers)Hakim Bouamar (3 shared papers)Lee McAlister-Henn (8 shared papers)Sang Woo Kim (1 shared paper)Kumaraguruparan Ramasamy (1 shared paper)Mark T. McCammon (1 shared paper)Veronica Contreras‐Shannon (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Biochemistry (3 papers)Clinical Cancer Research (2 papers)Cell chemical biology (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesAustria
In The Last Decade
An-Ping Lin
16 papers receiving 596 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 246
- Molecular Biology 417
- Immunology 125
- Pathology and Forensic Medicine 65
- Genetics 37
Countries citing papers authored by An-Ping Lin
This map shows the geographic impact of An-Ping Lin'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 An-Ping Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An-Ping Lin more than expected).
Fields of papers citing papers by An-Ping Lin
This network shows the impact of papers produced by An-Ping Lin. 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 An-Ping Lin. The network helps show where An-Ping Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside An-Ping Lin, 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 | 2012 | 270 | |
| 2 | 2015 | 43 | |
| 3 | 2013 | 40 | |
| 4 | 2004 | 34 | |
| 5 | 2002 | 33 | |
| 6 | 2003 | 32 | |
| 7 | 2016 | 27 | |
| 8 | 2020 | 22 | |
| 9 | 2017 | 21 | |
| 10 | 2011 | 20 | |
| 11 | 2008 | 19 | |
| 12 | 2020 | 19 | |
| 13 | 2009 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2010 | 7 | |
| 16 | 2011 | 1 |
About An-Ping Lin
An-Ping Lin is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 16 papers that have together received 604 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Biochemical and Molecular Research (4 papers), Fungal and yeast genetics research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Lymphoma Diagnosis and Treatment (2 papers), MicroRNA in disease regulation (2 papers) and Phosphodiesterase function and regulation (2 papers). The work is most often cited by research in Cancer Research (246 citations), Molecular Biology (417 citations), Immunology (125 citations), Pathology and Forensic Medicine (65 citations) and Genetics (37 citations). An-Ping Lin has collaborated with scholars based in United States and Austria. Frequent co-authors include Ricardo C.T. Aguiar, Daifeng Jiang, Hakim Bouamar, Lee McAlister-Henn, Sang Woo Kim, Kumaraguruparan Ramasamy, Mark T. McCammon, Veronica Contreras‐Shannon, Karyl I. Minard and Manoela Marques Ortega. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Clinical Cancer Research, Cell chemical biology and Science Advances.
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.