Wenjin Fu

620 total citations · 1 hit paper
30 papers, 424 citations indexed

About

Wenjin Fu is a scholar working on Cancer Research, Nephrology and Cognitive Neuroscience. According to data from OpenAlex, Wenjin Fu has authored 30 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Nephrology and 5 papers in Cognitive Neuroscience. Recurrent topics in Wenjin Fu's work include Chronic Kidney Disease and Diabetes (5 papers), Cancer-related molecular mechanisms research (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Wenjin Fu is often cited by papers focused on Chronic Kidney Disease and Diabetes (5 papers), Cancer-related molecular mechanisms research (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Wenjin Fu collaborates with scholars based in China, United States and Spain. Wenjin Fu's co-authors include Shaobo Wang, Shu Wen, Shilong Xiong, Lei Zheng, Qian Wang, Hongfu Wu, Lu Ding, Zhihong Huang, Xiaoan Wang and Yafang Zhou and has published in prestigious journals such as Psychophysiology, Human Brain Mapping and Biochimie.

In The Last Decade

Wenjin Fu

29 papers receiving 415 citations

Hit Papers

Neural biomarker diagnosis and prediction to mild cogniti... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wenjin Fu China 10 134 88 66 45 42 30 424
Shuzhi Zhao China 13 25 0.2× 270 3.1× 32 0.5× 71 1.6× 16 0.4× 34 636
Hugo Rojas United States 10 53 0.4× 128 1.5× 11 0.2× 14 0.3× 23 0.5× 18 521
Yusuke Watanabe Japan 12 31 0.2× 80 0.9× 14 0.2× 12 0.3× 21 0.5× 27 432
Iêda de Fátima Oliveira Silva Brazil 13 14 0.1× 79 0.9× 33 0.5× 17 0.4× 46 1.1× 29 393
Satoru Ohtomo Japan 10 32 0.2× 47 0.5× 146 2.2× 60 1.3× 9 0.2× 21 395
Akio Miyoshi Japan 12 15 0.1× 119 1.4× 20 0.3× 40 0.9× 86 2.0× 27 411
Min Ji Sung South Korea 9 59 0.4× 189 2.1× 6 0.1× 18 0.4× 19 0.5× 21 373
I-Hui Yang Taiwan 12 35 0.3× 106 1.2× 36 0.5× 6 0.1× 39 0.9× 22 730
Karl Heinz Krause Switzerland 9 43 0.3× 241 2.7× 15 0.2× 15 0.3× 13 0.3× 14 526
Catherina A. Cuevas United States 13 108 0.8× 424 4.8× 15 0.2× 21 0.5× 10 0.2× 16 717

Countries citing papers authored by Wenjin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Wenjin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjin Fu. A scholar is included among the top collaborators of Wenjin Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenjin Fu. Wenjin Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Yu, Lintao, Qiaoxuan Zhang, Liqiao Han, et al.. (2024). Development of simultaneous quantitation method for 20 free advanced glycation end products using UPLC–MS/MS and clinical application in kidney injury. Journal of Pharmaceutical and Biomedical Analysis. 242. 116035–116035. 1 indexed citations
3.
Jiao, Bin, Rihui Li, Hui Zhou, et al.. (2023). Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology. Alzheimer s Research & Therapy. 15(1). 32–32. 81 indexed citations breakdown →
4.
Sha, Yan-Hua, Lu Zhang, Lisha Lai, et al.. (2023). Microarray Expression Profile of Exosomal circRNAs from High Glucose Stimulated Human Renal Tubular Epithelial Cells. Diabetes Metabolic Syndrome and Obesity. Volume 16. 3937–3951. 1 indexed citations
5.
Liu, Shaowen, et al.. (2022). Interference of unilateral lower limb amputation on motor imagery rhythm and remodeling of sensorimotor areas. Frontiers in Human Neuroscience. 16. 1011463–1011463. 3 indexed citations
6.
Jiang, Min, Fei Liu, Yan‐Wei Hu, et al.. (2021). Serum complement proteomics reveal biomarkers for hypertension disorder of pregnancy and the potential role of Clusterin. Reproductive Biology and Endocrinology. 19(1). 56–56. 9 indexed citations
7.
Fu, Wenjin, Zhenxing Huang, Jun Li, et al.. (2021). Reduced sensitivity to delayed time and delayed reward of the post-operative insular glioma patients in delay discounting. NeuroImage Clinical. 33. 102895–102895. 2 indexed citations
8.
Lin, Song, Hongmei Wang, Chun‐Min Kang, et al.. (2020). Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables. Diagnostic Microbiology and Infectious Disease. 99(2). 115169–115169. 10 indexed citations
9.
Wu, Hongfu, Lu Ding, Wenjin Fu, et al.. (2020). Expression of long non-coding RNAs in complete transection spinal cord injury: a transcriptomic analysis. Neural Regeneration Research. 15(8). 1560–1560. 20 indexed citations
10.
Wu, Hongfu, Lu Ding, Yuhui Wang, et al.. (2020). MiR-615 Regulates NSC Differentiation In Vitro and Contributes to Spinal Cord Injury Repair by Targeting LINGO-1. Molecular Neurobiology. 57(7). 3057–3074. 18 indexed citations
11.
Zhao, Wan, Ling Huang, Li Yang, et al.. (2020). Evidence for the contribution of COMT gene Val158/108Met polymorphism (rs4680) to working memory training‐related prefrontal plasticity. Brain and Behavior. 10(2). e01523–e01523. 8 indexed citations
12.
Wang, Shaobo, et al.. (2017). Association of plasma leptin levels with type 2 diabetes in rotating shift work women. Biomedical Research-tokyo. 28(1). 295–298. 1 indexed citations
13.
Fu, Wenjin, Yingli Yu, Lin Han, et al.. (2017). Association between FSP, CVHI, inflammatory cytokines and the incidence of primary stroke. Journal of Clinical Neuroscience. 45. 265–269. 2 indexed citations
14.
Fu, Wenjin, et al.. (2017). Association between platelet glycoprotein Ia C807T gene polymorphism and ischemic stroke: a meta-analysis in a separate ethnic group. Cellular and Molecular Biology. 63(11). 111–115. 1 indexed citations
15.
Parra, Luis A., Philippe Callac, Junliang Zhou, et al.. (2015). Edible species of Agaricus (Agaricaceae) from Xinjiang Province (Western China). Phytotaxa. 202(3). 23 indexed citations
16.
Fu, Wenjin, Dujuan Wang, Zhihong Huang, et al.. (2015). Urinary liver-type fatty acid-binding protein change in gestational diabetes mellitus. Diabetes Research and Clinical Practice. 109(3). e36–e38. 3 indexed citations
17.
Fu, Wenjin, et al.. (2012). Correlation of high urinary Smad1 level with glomerular hyperfiltration in type 2 diabetes mellitus. Endocrine. 43(2). 346–350. 7 indexed citations
18.
Fu, Wenjin, Shilong Xiong, Shu Wen, et al.. (2011). Urinary tubular biomarkers in short-term type 2 diabetes mellitus patients: a cross-sectional study. Endocrine. 41(1). 82–88. 101 indexed citations
19.
Fu, Wenjin, Baoliang Li, Shaobo Wang, et al.. (2011). Changes of the tubular markers in type 2 diabetes mellitus with glomerular hyperfiltration. Diabetes Research and Clinical Practice. 95(1). 105–109. 56 indexed citations
20.
Wu, Fenglin, et al.. (2010). [Left versus right ventricular Tei index for evaluating third-trimester fetal cardiac function in pregnancy-induced hypertension syndrome].. PubMed. 30(5). 1031–3. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026