Jordan Li
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Vasculitis and related conditions 4
- Electrolyte and hormonal disorders 4
-
- Extracellular vesicles in disease 4
- Co-authors
- Tuck Y. Yong (41 shared papers)Jonathan Gleadle (19 shared papers)Michael Michael (7 shared papers)Paul Hakendorf (15 shared papers)Campbell Thompson (15 shared papers)David I. Ben-Tovim (13 shared papers)Jie Shen Fok (5 shared papers)Kym McNicholas (6 shared papers)
- Journals
- Nephrology (7 papers)QJM (4 papers)Renal Failure (4 papers)The Medical Journal of Australia (2 papers)Biosensors and Bioelectronics (2 papers)
- Partner nations
- AustraliaUnited KingdomChina
In The Last Decade
Jordan Li
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Nephrology 124
- Cancer Research 258
- Emergency Medicine 99
- Geriatrics and Gerontology 29
- Transplantation 15
Countries citing papers authored by Jordan Li
This map shows the geographic impact of Jordan Li'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 Jordan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan Li more than expected).
Fields of papers citing papers by Jordan Li
This network shows the impact of papers produced by Jordan Li. 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 Jordan Li. The network helps show where Jordan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jordan Li, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 177 | |
| 2 | 2010 | 115 | |
| 3 | 2013 | 82 | |
| 4 | 2012 | 69 | |
| 5 | 2011 | 56 | |
| 6 | 2017 | 53 | |
| 7 | 2007 | 53 | |
| 8 | 2019 | 40 | |
| 9 | 2008 | 38 | |
| 10 | 2014 | 38 | |
| 11 | 2014 | 37 | |
| 12 | 2020 | 33 | |
| 13 | 2010 | 28 | |
| 14 | 2013 | 26 | |
| 15 | 2014 | 24 | |
| 16 | 2016 | 21 | |
| 17 | 2011 | 21 | |
| 18 | 2011 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2024 | 18 |
About Jordan Li
Jordan Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Epidemiology and Nephrology, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Biosensors and Analytical Detection (5 papers), Emergency and Acute Care Studies (5 papers), Vasculitis and related conditions (4 papers), Renal Diseases and Glomerulopathies (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Electrolyte and hormonal disorders (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Nephrology (124 citations), Cancer Research (258 citations), Emergency Medicine (99 citations), Geriatrics and Gerontology (29 citations) and Transplantation (15 citations). Jordan Li has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Tuck Y. Yong, Jonathan Gleadle, Michael Michael, Paul Hakendorf, Campbell Thompson, David I. Ben-Tovim, Jie Shen Fok, Kym McNicholas, Krasimir Vasilev and Melanie MacGregor. Their work appears in journals such as Nephrology, QJM, Renal Failure, The Medical Journal of Australia and Biosensors and Bioelectronics.
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.