Long‐Jun Dai
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
- Genetics top 2%
- Mesenchymal stem cell research
- Diabetes and associated disorders
Papers in
-
- Ion Transport and Channel Regulation 14
- Ion channel regulation and function 6
- RNA Interference and Gene Delivery 3
-
- Magnesium in Health and Disease 21
- Co-authors
- Gary A. Quamme (25 shared papers)Gordon Ritchie (17 shared papers)Dirk Kerstan (8 shared papers)Garth L. Warnock (9 shared papers)Hyung Sub Kang (6 shared papers)Yahong Yuan (2 shared papers)Qingle Liang (1 shared paper)Dongsheng Li (2 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (15 papers)Kidney International (3 papers)Oncotarget (2 papers)Frontiers in Oncology (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Long‐Jun Dai
60 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 117
- Nephrology 298
- Genetics 358
- Nutrition and Dietetics 538
- Cancer Research 217
- Molecular Biology 1.1k
Countries citing papers authored by Long‐Jun Dai
This map shows the geographic impact of Long‐Jun Dai'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 Long‐Jun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long‐Jun Dai more than expected).
Fields of papers citing papers by Long‐Jun Dai
This network shows the impact of papers produced by Long‐Jun Dai. 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 Long‐Jun Dai. The network helps show where Long‐Jun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Long‐Jun Dai, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 283 | |
| 2 | 2001 | 268 | |
| 3 | 2009 | 136 | |
| 4 | 2015 | 136 | |
| 5 | 2008 | 122 | |
| 6 | 2008 | 108 | |
| 7 | 2014 | 104 | |
| 8 | 2010 | 99 | |
| 9 | 2011 | 87 | |
| 10 | 2006 | 68 | |
| 11 | 2015 | 67 | |
| 12 | 2022 | 63 | |
| 13 | 1990 | 61 | |
| 14 | 1998 | 59 | |
| 15 | 1997 | 57 | |
| 16 | 1997 | 56 | |
| 17 | 2019 | 55 | |
| 18 | 2020 | 42 | |
| 19 | 2006 | 38 | |
| 20 | 1993 | 33 |
About Long‐Jun Dai
Long‐Jun Dai is a scholar working on Molecular Biology, Nutrition and Dietetics, Nephrology, Surgery and Genetics, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Magnesium in Health and Disease (21 papers), Ion Transport and Channel Regulation (14 papers), Parathyroid Disorders and Treatments (12 papers), Mesenchymal stem cell research (7 papers), Ion channel regulation and function (6 papers), Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Nephrology (298 citations), Genetics (358 citations), Nutrition and Dietetics (538 citations), Cancer Research (217 citations) and Molecular Biology (1.1k citations). Long‐Jun Dai has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Gary A. Quamme, Gordon Ritchie, Dirk Kerstan, Garth L. Warnock, Hyung Sub Kang, Yahong Yuan, Qingle Liang, Dongsheng Li, Peter A. Friedman and David E.C. Cole. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Kidney International, Oncotarget, Frontiers in Oncology and Frontiers in Genetics.
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.