Ping La
Impact in
-
- Circadian rhythm and melatonin
-
- Heme Oxygenase-1 and Carbon Monoxide
- Genomics, phytochemicals, and oxidative stress
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 6
- Genomics and Chromatin Dynamics 3
- Genetics 3
- Hemoglobinopathies and Related Disorders 3
- Co-authors
- Phyllis A. Dennery (13 shared papers)Guang Yang (12 shared papers)Xianxin Hua (6 shared papers)Robert W. Schnepp (6 shared papers)Amal P. Fernando (5 shared papers)Shaon Sengupta (4 shared papers)Chhanda Biswas (3 shared papers)Clyde J. Wright (6 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (3 papers)Blood (2 papers)Free Radical Biology and Medicine (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesJapanPortugal
In The Last Decade
Ping La
23 papers receiving 978 citations
Peers
Comparison fields: 5 of 69
- Endocrine and Autonomic Systems 71
- Molecular Biology 394
- Epidemiology 197
- Genetics 43
- Hematology 61
Countries citing papers authored by Ping La
This map shows the geographic impact of Ping La'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 Ping La with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping La more than expected).
Fields of papers citing papers by Ping La
This network shows the impact of papers produced by Ping La. 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 Ping La. The network helps show where Ping La may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping La, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 225 | |
| 2 | 2006 | 91 | |
| 3 | 2004 | 73 | |
| 4 | 2013 | 69 | |
| 5 | 2004 | 68 | |
| 6 | 2019 | 60 | |
| 7 | 2004 | 45 | |
| 8 | 2013 | 41 | |
| 9 | 2014 | 41 | |
| 10 | 2016 | 41 | |
| 11 | 2007 | 34 | |
| 12 | 2009 | 34 | |
| 13 | 2008 | 27 | |
| 14 | 2010 | 26 | |
| 15 | 2012 | 25 | |
| 16 | 2013 | 25 | |
| 17 | 2016 | 25 | |
| 18 | 2003 | 17 | |
| 19 | 2011 | 14 | |
| 20 | 2020 | 10 |
About Ping La
Ping La is a scholar working on Molecular Biology, Genetics, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Epidemiology, having authored 23 papers that have together received 1k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (6 papers), Neuroendocrine Tumor Research Advances (4 papers), Neonatal Respiratory Health Research (4 papers), Genomics and Chromatin Dynamics (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Circadian rhythm and melatonin (2 papers), NF-κB Signaling Pathways (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (71 citations), Molecular Biology (394 citations), Epidemiology (197 citations), Genetics (43 citations) and Hematology (61 citations). Ping La has collaborated with scholars based in United States, Japan and Portugal. Frequent co-authors include Phyllis A. Dennery, Guang Yang, Xianxin Hua, Robert W. Schnepp, Amal P. Fernando, Shaon Sengupta, Chhanda Biswas, Clyde J. Wright, Stephen Matthew Sykes and Hua Mao. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Lung Cellular and Molecular Physiology, Blood, Free Radical Biology and Medicine and Oncogene.
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.