Ke Pan

32 papers receiving 318 citations

Ke Pan's Hit Papers

Lactate drives epithelial-mesenchymal transition in diabetic kidney disease via the H3K14la/KLF5 pathway 2024 · 79 citations
790+1Years since publication255075

Peers

Ke Pan
Comparison fields: 5 of 89
  • Nephrology 18
  • Health, Toxicology and Mutagenesis 30
  • Endocrinology, Diabetes and Metabolism 28
  • Obstetrics and Gynecology 11
  • Environmental Engineering 19
Replace Tzu‐Ling Chen with:
Tzu‐Ling Chen Taiwan
Disline Manli Tantoh Taiwan
Meiying Zhu China
Yuzhi Xi United States
Huiying Wang China
Chi‐In Lo Taiwan
Haojian Dong China
Pingting Yang China
José A. Varela-Silva Mexico
Juan Carlos Fernández-Macías Mexico
Ke Pan relative to Tzu‐Ling Chen Taiwan Tzu‐Ling Chen's profile →
Citations per field
00.5×3.4×
Tzu‐Ling Chen · 1×
Citations per year

Countries citing papers authored by Ke Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ke Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lactate drives epithelial-mesenchymal transition in diabetic kidney disease via the H3K14la/KLF5 pathway
Hit paper breakdown →
202479
2 201928
3 202128
4 202119
5 202219
6 202117
7 202216
8 202214
9 202211
10 20239
11 20228
12 20248
13 20226
14 20236
15 20236
16 20235
17 20215
18 20234
19 20244
20 20244

About Ke Pan

Ke Pan is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis, Molecular Biology, General Health Professions and Ocean Engineering, having authored 36 papers that have together received 325 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (3 papers), Water resources management and optimization (3 papers), Energy and Environment Impacts (2 papers), Marine and coastal ecosystems (2 papers), Gestational Diabetes Research and Management (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hydrological Forecasting Using AI (2 papers) and Environmental Impact and Sustainability (2 papers). The work is most often cited by research in Nephrology (18 citations), Health, Toxicology and Mutagenesis (30 citations), Endocrinology, Diabetes and Metabolism (28 citations), Obstetrics and Gynecology (11 citations) and Environmental Engineering (19 citations). Ke Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Emily W. Harville, Zuxun Lu, Susan Sumner, Susan McRitchie, Heng Jiang, Minzhi Xu, Qingfeng Tian, Lei Wang, Xuanxuan Zhang and Jian Zhang. Their work appears in journals such as Journal of Affective Disorders, Journal of Global Health, Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity, Environmental Science and Pollution Research and Journal of Water and Health.

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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