Han Chan

861 total citations · 1 hit paper
13 papers, 551 citations indexed

About

Han Chan is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Gastroenterology. According to data from OpenAlex, Han Chan has authored 13 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Gastroenterology. Recurrent topics in Han Chan's work include Renal Diseases and Glomerulopathies (7 papers), Celiac Disease Research and Management (3 papers) and Vasculitis and related conditions (3 papers). Han Chan is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Celiac Disease Research and Management (3 papers) and Vasculitis and related conditions (3 papers). Han Chan collaborates with scholars based in China, United States and Germany. Han Chan's co-authors include Ju‐Hyun Lee, M. Staufenbiel, Cynthia Bleiwas, Martin J. Berg, Chunfeng Huo, James Peddy, Mala Rao, Chris N. Goulbourne, Dun‐Sheng Yang and Philip Stavrides and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Oncotarget.

In The Last Decade

Han Chan

8 papers receiving 547 citations

Hit Papers

Faulty autolysosome acidification in Alzheimer’s disease ... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Chan China 5 235 153 129 126 99 13 551
Xiqiong Han China 14 72 0.3× 304 2.0× 134 1.0× 63 0.5× 120 1.2× 23 694
Cathrine Husberg Norway 18 76 0.3× 340 2.2× 111 0.9× 101 0.8× 122 1.2× 23 852
Jianning Zhang China 13 50 0.2× 185 1.2× 55 0.4× 67 0.5× 105 1.1× 24 535
Jong‐Jer Lee Taiwan 16 53 0.2× 183 1.2× 137 1.1× 65 0.5× 40 0.4× 34 657
Donghe Han China 15 87 0.4× 274 1.8× 145 1.1× 19 0.2× 36 0.4× 18 676
Jin-Rui Chang China 14 109 0.5× 152 1.0× 60 0.5× 54 0.4× 66 0.7× 22 481
Taku Masuyama Japan 13 241 1.0× 268 1.8× 84 0.7× 18 0.1× 38 0.4× 27 752
J. H. Lee South Korea 11 123 0.5× 158 1.0× 121 0.9× 21 0.2× 50 0.5× 21 591
D Christmann France 7 139 0.6× 203 1.3× 64 0.5× 107 0.8× 13 0.1× 15 614
Jing Zou China 9 72 0.3× 171 1.1× 54 0.4× 21 0.2× 78 0.8× 11 485

Countries citing papers authored by Han Chan

Since Specialization
Citations

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

Fields of papers citing papers by Han Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Han Chan. A scholar is included among the top collaborators of Han Chan 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 Han Chan. Han Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Chan, Han, Hui Yin, Gaofu Zhang, et al.. (2025). Etiology of nephrotic syndrome: insights from univariate and multivariate Mendelian randomization study. Renal Failure. 47(1). 2479184–2479184.
3.
Chen, Jiahuan, Han Chan, Xia Yang, et al.. (2024). Comparison of different genetic testing modalities applied in paediatric patients with steroid-resistant nephrotic syndrome. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 50(1). 85–85.
4.
Gan, Chun Loo, Xiao Han, Wei Jiang, et al.. (2024). Prediction Model and Decision Analysis for Early Recognition of SDNS/FRNS in Children. Journal of Inflammation Research. Volume 17. 10585–10598.
5.
Jia, Jiao, Gaofu Zhang, Han Chan, et al.. (2023). Value of the modified semiquantitative classification in predicting outcomes in children with Henoch–Schönlein purpura nephritis. Nephrology. 28(9). 495–505. 1 indexed citations
6.
Wang, Li, Xiaojie Gao, Yetao Luo, et al.. (2022). Association between HLA alleles and sub-phenotype of childhood steroid-sensitive nephrotic syndrome. World Journal of Pediatrics. 18(2). 109–119.
7.
Lee, Ju‐Hyun, Dun‐Sheng Yang, Chris N. Goulbourne, et al.. (2022). Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaques. Nature Neuroscience. 25(6). 688–701. 397 indexed citations breakdown →
8.
Katende, Allan, G. Michael Grammer, Jim Puckette, et al.. (2021). Multiscale Characterization of the Caney Shale — An Emerging Play in Oklahoma. 2. 33–53. 17 indexed citations
10.
Shi, Dongmei, Han Chan, Xia Yang, et al.. (2019). Risk factors associated with IgA vasculitis with nephritis (Henoch–Schönlein purpura nephritis) progressing to unfavorable outcomes: A meta-analysis. PLoS ONE. 14(10). e0223218–e0223218. 34 indexed citations
11.
Chan, Han, et al.. (2019). Indirect-comparison meta-analysis of treatment options for patients with refractory Kawasaki disease. BMC Pediatrics. 19(1). 158–158. 19 indexed citations
13.
Chan, Han, et al.. (2016). Risk Factors Associated with Renal Involvement in Childhood Henoch-Schönlein Purpura: A Meta-Analysis. PLoS ONE. 11(11). e0167346–e0167346. 81 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.

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