Ming‐Ju Wu

3.6k citations
154 papers · 2.0k · h-index 24

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 1%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management

Papers in

    • Chronic Kidney Disease and Diabetes 17
    • Renal Diseases and Glomerulopathies 13
    • Dialysis and Renal Disease Management 11
    • Acute Kidney Injury Research 7
    • Gout, Hyperuricemia, Uric Acid 6
    • Renal Transplantation Outcomes and Treatments 21

Ming‐Ju Wu

145 papers receiving 2.0k citations

Peers

Ming‐Ju Wu
Comparison fields: 5 of 135
  • Transplantation 286
  • Nephrology 446
  • Hepatology 157
  • Surgery 279
  • Oncology 173
Replace Alicja Dębska‐Ślizień with:
Alicja Dębska‐Ślizień Poland
Atiporn Ingsathit Thailand
Behzad Einollahi Iran
Alaattin Yıldız Türkiye
Marian Klinger Poland
Gianni Cappelli Italy
Fred Nieman Netherlands
Amir Kazory United States
Johan Van Cleemput Belgium
Carlos Jiménez Spain
Ming‐Ju Wu relative to Alicja Dębska‐Ślizień Poland Alicja Dębska‐Ślizień's profile →
Citations per field
00.5×3.1×
Alicja Dębska‐Ślizień · 1×
Citations per year

Countries citing papers authored by Ming‐Ju Wu

Since Specialization
Citations

This map shows the geographic impact of Ming‐Ju Wu'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 Ming‐Ju Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Ju Wu more than expected).

Fields of papers citing papers by Ming‐Ju Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ju Wu. 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 Ming‐Ju Wu. The network helps show where Ming‐Ju Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Ju Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming‐Ju Wu Line = papers co-authored together Ming‐Ju Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006148
2 201195
3
Social functioning and overall mortality: prospective evidence from the Kuopio Ischemic Heart Disease Risk Factor Study.
199487
4 200172
5 200069
6 201459
7 200458
8 201053
9 200449
10 200142
11 202438
12 202137
13 201236
14 200135
15 201634
16 201434
17 201733
18 201632
19 200432
20 201927

About Ming‐Ju Wu

Ming‐Ju Wu is a scholar working on Nephrology, Transplantation, Epidemiology, Surgery and Molecular Biology, having authored 154 papers that have together received 2.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (21 papers), Chronic Kidney Disease and Diabetes (17 papers), Renal Diseases and Glomerulopathies (13 papers), Dialysis and Renal Disease Management (11 papers), Acute Kidney Injury Research (7 papers), Polyomavirus and related diseases (6 papers), Gout, Hyperuricemia, Uric Acid (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Transplantation (286 citations), Nephrology (446 citations), Hepatology (157 citations), Surgery (279 citations) and Oncology (173 citations). Ming‐Ju Wu has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Cheng‐Hsu Chen, Kuo‐Hsiung Shu, Chi‐Hung Cheng, Mei‐Chin Wen, K.-H. Shu, Jong‐Da Lian, Ya‐Wen Chuang, Shang‐Feng Tsai, Tung‐Min Yu and Wen‐Chin Lee. Their work appears in journals such as Journal of Clinical Medicine, PLoS ONE, Scientific Reports, Nephrology and BMC Nephrology.

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.

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