Xiaomin Pan
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
- Liver physiology and pathology
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
-
- Metabolism and Genetic Disorders 2
- Genetics 3
- Hemoglobinopathies and Related Disorders 3
- Co-authors
- Peter F. WhitingtonPadmini MalladiHéctor Melín‐AldanaAtul SahaiRichard M. GreenSusan KellyRohit KohliMark S. Wainwright
- Journals
- Kidney International (2 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (2 papers)Liver International (1 paper)The Journal of Pediatrics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xiaomin Pan
16 papers receiving 556 citations
Peers
Comparison fields: 5 of 64
- Hepatology 97
- Hematology 103
- Epidemiology 265
- Genetics 78
- Endocrinology, Diabetes and Metabolism 105
Countries citing papers authored by Xiaomin Pan
This map shows the geographic impact of Xiaomin 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 Xiaomin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomin Pan more than expected).
Fields of papers citing papers by Xiaomin Pan
This network shows the impact of papers produced by Xiaomin 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 Xiaomin Pan. The network helps show where Xiaomin Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaomin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2019 | 4 | |
| 5 | 2014 | 9 | |
| 6 | 2012 | 39 | |
| 7 | 2012 | 22 | |
| 8 | 2011 | 32 | |
| 9 | 2010 | 70 | |
| 10 | 2009 | 22 | |
| 11 | 2007 | 55 | |
| 12 | 2006 | 26 | |
| 13 | 2004 | 242 | |
| 14 | 2003 | 26 | |
| 15 | 2002 | 5 | |
| 16 | 2001 | 12 |
About Xiaomin Pan
Xiaomin Pan is a scholar working on Clinical Biochemistry, Genetics, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Hepatology, having authored 16 papers that have together received 574 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Neonatal Health and Biochemistry (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Pregnancy and preeclampsia studies (2 papers), Metabolism and Genetic Disorders (2 papers), Epigenetics and DNA Methylation (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Hepatology (97 citations), Hematology (103 citations), Epidemiology (265 citations), Genetics (78 citations) and Endocrinology, Diabetes and Metabolism (105 citations). Xiaomin Pan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Peter F. Whitington, Padmini Malladi, Héctor Melín‐Aldana, Atul Sahai, Richard M. Green, Susan Kelly, Rohit Kohli, Mark S. Wainwright, Lin Sun and Yashpal S. Kanwar. Their work appears in journals such as Kidney International, American Journal of Physiology-Gastrointestinal and Liver Physiology, Liver International, The Journal of Pediatrics and Scientific Reports.
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.