Ching‐I Pao
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Agronomy and Crop Science top 10%
- Bioenergy crop production and management
Papers in
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- Metabolism, Diabetes, and Cancer 6
-
- Coffee research and impacts 7
- Co-authors
- Page W. Morgan (4 shared papers)L S Phillips (1 shared paper)Betty C. Villafuerte (1 shared paper)Michael E. Rybak (8 shared papers)Christine M Pfeiffer (4 shared papers)Lawrence S. Phillips (5 shared papers)Maya Sternberg (6 shared papers)Namanjeet Ahluwalia (2 shared papers)
- Journals
- The FASEB Journal (3 papers)Journal of Biological Chemistry (3 papers)PLANT PHYSIOLOGY (3 papers)Current Developments in Nutrition (2 papers)Endocrinology (2 papers)
- Partner nations
- United States
In The Last Decade
Ching‐I Pao
16 papers receiving 355 citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 113
- Agronomy and Crop Science 47
- Pharmacology 50
- Plant Science 103
- Genetics 52
Countries citing papers authored by Ching‐I Pao
This map shows the geographic impact of Ching‐I Pao'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 Ching‐I Pao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐I Pao more than expected).
Fields of papers citing papers by Ching‐I Pao
This network shows the impact of papers produced by Ching‐I Pao. 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 Ching‐I Pao. The network helps show where Ching‐I Pao may publish in the future.
Co-authors
The 21 scholars most cited alongside Ching‐I Pao, 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 | 1998 | 81 | |
| 2 | 1986 | 75 | |
| 3 | 2015 | 50 | |
| 4 | 1995 | 25 | |
| 5 | 1986 | 23 | |
| 6 | 2013 | 23 | |
| 7 | 1987 | 20 | |
| 8 | 2001 | 15 | |
| 9 | 2001 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 1996 | 11 | |
| 12 | 2007 | 8 | |
| 13 | 1999 | 6 | |
| 14 | 1988 | 3 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2015 | 0 | |
| 18 | 2019 | 0 | |
| 19 | 2025 | 0 |
About Ching‐I Pao
Ching‐I Pao is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Plant Science and Surgery, having authored 19 papers that have together received 370 indexed citations. Recurring topics across this work include Coffee research and impacts (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Plant Molecular Biology Research (3 papers), Nutritional Studies and Diet (3 papers), Pancreatic function and diabetes (3 papers), Muscle metabolism and nutrition (2 papers) and Bioenergy crop production and management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (113 citations), Agronomy and Crop Science (47 citations), Pharmacology (50 citations), Plant Science (103 citations) and Genetics (52 citations). Ching‐I Pao has collaborated with scholars based in United States. Frequent co-authors include Page W. Morgan, L S Phillips, Betty C. Villafuerte, Michael E. Rybak, Christine M Pfeiffer, Lawrence S. Phillips, Maya Sternberg, Namanjeet Ahluwalia, Elizabeth N. Kaytor and Juan Zhu. Their work appears in journals such as The FASEB Journal, Journal of Biological Chemistry, PLANT PHYSIOLOGY, Current Developments in Nutrition and Endocrinology.
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.