Long‐Jun Dai
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Nutrition and Dietetics top 2%
- Magnesium in Health and Disease
Papers in
-
- Magnesium in Health and Disease 19
- Genetics 14
- Mesenchymal stem cell research 10
- Glioma Diagnosis and Treatment 5
- Co-authors
- Gary A. Quamme (24 shared papers)Gordon Ritchie (16 shared papers)Dirk Kerstan (8 shared papers)Hyung Sub Kang (7 shared papers)Garth L. Warnock (10 shared papers)Dongsheng Li (2 shared papers)Qingle Liang (1 shared paper)Peter A. Friedman (4 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (15 papers)Kidney International (3 papers)Frontiers in Oncology (2 papers)Canadian Journal of Physiology and Pharmacology (2 papers)Oncotarget (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Long‐Jun Dai
59 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 96
- Genetics 422
- Nutrition and Dietetics 463
- Nephrology 156
- Surgery 506
- Physiology 46
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 295 | |
| 2 | 2001 | 272 | |
| 3 | 2015 | 140 | |
| 4 | 2009 | 138 | |
| 5 | 2008 | 126 | |
| 6 | 2008 | 110 | |
| 7 | 2014 | 107 | |
| 8 | 2010 | 103 | |
| 9 | 2011 | 87 | |
| 10 | 2006 | 70 | |
| 11 | 2022 | 70 | |
| 12 | 2015 | 69 | |
| 13 | 1990 | 61 | |
| 14 | 1997 | 58 | |
| 15 | 1998 | 58 | |
| 16 | 2019 | 58 | |
| 17 | 1997 | 54 | |
| 18 | 2020 | 42 | |
| 19 | 2000 | 39 | |
| 20 | 2006 | 38 |
About Long‐Jun Dai
Long‐Jun Dai is a scholar working on Nutrition and Dietetics, Genetics, Molecular Biology, Surgery and Nephrology, having authored 60 papers that have together received 2.7k indexed citations. Recurring topics across this work include Magnesium in Health and Disease (19 papers), Mesenchymal stem cell research (10 papers), Ion Transport and Channel Regulation (7 papers), Pancreatic function and diabetes (6 papers), Glioma Diagnosis and Treatment (5 papers), RNA Interference and Gene Delivery (3 papers), Cancer Cells and Metastasis (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Genetics (422 citations), Nutrition and Dietetics (463 citations), Nephrology (156 citations), Surgery (506 citations) and Physiology (46 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, Hyung Sub Kang, Garth L. Warnock, Dongsheng Li, Qingle Liang, Peter A. Friedman, David E.C. Cole and Jeff Xiwu Zhou. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Kidney International, Frontiers in Oncology, Canadian Journal of Physiology and Pharmacology and Oncotarget.
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.