Long‐Jun Dai
- Nephrology top 2%
- Parathyroid Disorders and Treatments 12
- Genetics top 2%
- Mesenchymal stem cell research 7
- Nutrition and Dietetics top 2%
- Magnesium in Health and Disease 21
- Cancer Research top 10%
- MicroRNA in disease regulation 4
- Molecular Biology top 10%
- Ion Transport and Channel Regulation 14
- Ion channel regulation and function 6
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- Pancreatic function and diabetes 5
- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Gary A. QuammeGordon RitchieGarth L. WarnockDirk KerstanYahong YuanQingle LiangDongsheng LiHyung Sub Kang
- Journals
- American Journal of Physiology-Renal Physiology (15 papers)Kidney International (3 papers)Molecular Therapy — Oncolytics (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Long‐Jun Dai
59 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 118
- Nephrology 277
- Genetics 374
- Nutrition and Dietetics 509
- Cancer Research 245
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 0 | |
| 2 | 2021 | 23 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 54 | |
| 7 | 2016 | 4 | |
| 8 | 2016 | 31 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 103 | |
| 11 | 2013 | 14 | |
| 12 | 2011 | 83 | |
| 13 | 2010 | 99 | |
| 14 | 2009 | 4 | |
| 15 | 2007 | 17 | |
| 16 | 2006 | 63 | |
| 17 | 2001 | 15 | |
| 18 | 1998 | 53 | |
| 19 | 1997 | 52 | |
| 20 | 1993 | 14 |
About Long‐Jun Dai
Long‐Jun Dai is a scholar working on Nephrology, Nutrition and Dietetics, Genetics, Molecular Biology and Cancer Research, having authored 60 papers that have together received 2.4k 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), Tissue Engineering and Regenerative Medicine (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Nephrology (277 citations), Genetics (374 citations), Nutrition and Dietetics (509 citations), Cancer Research (245 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, Garth L. Warnock, Dirk Kerstan, Yahong Yuan, Qingle Liang, Dongsheng Li, Hyung Sub Kang, Peter A. Friedman and Jeff X. Zhou. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Kidney International, Molecular Therapy — Oncolytics, Oncotarget and Frontiers in Oncology.
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.