Lindan Ji
Impact in
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- Heavy Metal Exposure and Toxicity
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- Hormonal Regulation and Hypertension
Papers in
- Genetics 13
- Genetic Associations and Epidemiology 8
- Co-authors
- Jin Xu (42 shared papers)Lihong Xu (1 shared paper)Gaudenz Danuser (1 shared paper)Manfred A. Jäch (1 shared paper)Lingling Fu (3 shared papers)Xiaoyu Zhao (1 shared paper)Nelson L.S. Tang (7 shared papers)Lina Zhang (4 shared papers)
- Journals
- Journal of Human Hypertension (3 papers)Environmental Toxicology (2 papers)Annals of Medicine (2 papers)Toxicon (2 papers)Frontiers in Endocrinology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lindan Ji
52 papers receiving 988 citations
Peers
Comparison fields: 5 of 132
- Health, Toxicology and Mutagenesis 131
- Endocrinology, Diabetes and Metabolism 144
- Obstetrics and Gynecology 65
- Endocrine and Autonomic Systems 51
- Cardiology and Cardiovascular Medicine 162
Countries citing papers authored by Lindan Ji
This map shows the geographic impact of Lindan Ji'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 Lindan Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lindan Ji more than expected).
Fields of papers citing papers by Lindan Ji
This network shows the impact of papers produced by Lindan Ji. 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 Lindan Ji. The network helps show where Lindan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Lindan Ji, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 99 | |
| 2 | 2019 | 78 | |
| 3 | 2010 | 72 | |
| 4 | 2005 | 61 | |
| 5 | Annotated check list of aquatic and riparian/littoral beetle families of the world (Coleoptera). | 1998 | 49 |
| 6 | 2019 | 47 | |
| 7 | 2022 | 43 | |
| 8 | 2017 | 37 | |
| 9 | 2007 | 35 | |
| 10 | 2017 | 34 | |
| 11 | 2013 | 33 | |
| 12 | 2023 | 32 | |
| 13 | 2012 | 30 | |
| 14 | 2015 | 29 | |
| 15 | 2018 | 22 | |
| 16 | 2023 | 22 | |
| 17 | 2009 | 20 | |
| 18 | 2017 | 19 | |
| 19 | 2016 | 15 | |
| 20 | 2012 | 14 |
About Lindan Ji
Lindan Ji is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Circadian rhythm and melatonin (7 papers), Hormonal Regulation and Hypertension (6 papers), Renin-Angiotensin System Studies (4 papers), Apelin-related biomedical research (3 papers), Sleep and related disorders (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (131 citations), Endocrinology, Diabetes and Metabolism (144 citations), Obstetrics and Gynecology (65 citations), Endocrine and Autonomic Systems (51 citations) and Cardiology and Cardiovascular Medicine (162 citations). Lindan Ji has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jin Xu, Lihong Xu, Gaudenz Danuser, Manfred A. Jäch, Lingling Fu, Xiaoyu Zhao, Nelson L.S. Tang, Lina Zhang, Jia Su and Ya‐Ping Zhang. Their work appears in journals such as Journal of Human Hypertension, Environmental Toxicology, Annals of Medicine, Toxicon and Frontiers in 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.