Kanran Wang

1.1k citations
22 papers · 673 · 1 hit paper · h-index 13

Impact in

Papers in

Kanran Wang

21 papers receiving 655 citations

Kanran Wang's Hit Papers

A pathology foundation model for cancer diagnosis and prognosis prediction 2024 · 314 citations
3140+1Years since publication100200300

Peers

Kanran Wang
Comparison fields: 5 of 71
  • Health Informatics 57
  • Endocrinology, Diabetes and Metabolism 128
  • Nephrology 59
  • Artificial Intelligence 202
  • Psychiatry and Mental health 52
Replace Qianqian Guo with:
Qianqian Guo China
Guhan Ram Venkataraman United States
Julia Moellmann Germany
Marsida Teliti Italy
Ryuto Nakazawa Japan
Jiatuo Xu China
Yuka Sugawara Kikuchi Japan
Riswana Banu Singapore
Kai Yu China
John D. Bukowy United States
Kanran Wang relative to Qianqian Guo China Qianqian Guo's profile →
Citations per field
00.5×2×4×6×8.4×
Qianqian Guo · 1×
Citations per year

Countries citing papers authored by Kanran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kanran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A pathology foundation model for cancer diagnosis and prognosis prediction
Hit paper breakdown →
2024314
2 201868
3 202139
4 202032
5 202131
6 202027
7 202424
8 201921
9 202120
10 202119
11 202317
12 202014
13 202114
14 202411
15 202210
16 20254
17 20212
18 20222
19 20252
20 20181

About Kanran Wang

Kanran Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Psychiatry and Mental health, Nephrology, Public Health, Environmental and Occupational Health and Artificial Intelligence, having authored 22 papers that have together received 673 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (5 papers), Hormonal Regulation and Hypertension (5 papers), Nutritional Studies and Diet (4 papers), Chronic Kidney Disease and Diabetes (3 papers), AI in cancer detection (3 papers), Smoking Behavior and Cessation (1 paper), Pregnancy and preeclampsia studies (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Health Informatics (57 citations), Endocrinology, Diabetes and Metabolism (128 citations), Nephrology (59 citations), Artificial Intelligence (202 citations) and Psychiatry and Mental health (52 citations). Kanran Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinbo Hu, Qifu Li, Hong Liu, Ting Luo, Shumin Yang, Shumin Yang, Yue Wang, Qingfeng Cheng, Ying Song and Wenwen He. Their work appears in journals such as The Journal of Prevention of Alzheimer s Disease, The Journal of Clinical Endocrinology & Metabolism, Regional Anesthesia & Pain Medicine, Journal of the American Heart Association and Journal of the Renin-Angiotensin-Aldosterone System.

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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