Jiangling Tu

1.3k citations
34 papers · 995 · h-index 17

Impact in

Papers in

Jiangling Tu

33 papers receiving 972 citations

Peers

Jiangling Tu
Comparison fields: 5 of 70
  • Pulmonary and Respiratory Medicine 395
  • Cell Biology 161
  • Molecular Biology 623
  • Cancer Research 122
  • Urology 51
Replace Daryle J. DePianto with:
Daryle J. DePianto United States
E. Cristy Ruteshouser United States
Katharine E. Black United States
Shuxiong Zeng China
P. Bianco Italy
Chung-Ping Liao United States
Shinshichi Hamada Japan
Naheema S. Gordon United Kingdom
Lora H. Rigatti United States
Xueqian Yin United States
Jiangling Tu relative to Daryle J. DePianto United States Daryle J. DePianto's profile →
Citations per field
00.5×1.5×2.2×
Daryle J. DePianto · 1×
Citations per year

Countries citing papers authored by Jiangling Tu

Since Specialization
Citations

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

Fields of papers citing papers by Jiangling Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiangling Tu. 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 Jiangling Tu. The network helps show where Jiangling Tu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jiangling Tu, 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 Jiangling Tu Line = papers co-authored together Jiangling Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995196
2 2007130
3 199486
4 199684
5 200659
6 200847
7 201045
8 200539
9 201036
10 199335
11 199430
12 200927
13 200723
14 199520
15 200119
16 200818
17 200817
18 200915
19 200613
20 200012

About Jiangling Tu

Jiangling Tu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 995 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (10 papers), Fungal and yeast genetics research (6 papers), Urologic and reproductive health conditions (6 papers), Renal and related cancers (4 papers), Prostate Cancer Treatment and Research (4 papers), Peripheral Nerve Disorders (4 papers), Renal cell carcinoma treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (395 citations), Cell Biology (161 citations), Molecular Biology (623 citations), Cancer Research (122 citations) and Urology (51 citations). Jiangling Tu has collaborated with scholars based in United States, Spain and South Africa. Frequent co-authors include Marian Carlson, Yao‐Tseng Chen, Jean Kao, Wenjie Song, Stephen Rohan, Susan Mathew, Naoki Kitabayashi, Ashutosh Tewari, Ludovic Vallier and Xi Zhou. Their work appears in journals such as The Journal of Urology, Journal of Endourology, British Journal of Urology, Molecular and Cellular Biology and Clinical Cancer Research.

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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