Xin Yan

1.3k total citations · 1 hit paper
35 papers, 629 citations indexed

About

Xin Yan is a scholar working on Surgery, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xin Yan has authored 35 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Neurology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xin Yan's work include Advanced machining processes and optimization (5 papers), Gestational Diabetes Research and Management (5 papers) and Pregnancy and preeclampsia studies (4 papers). Xin Yan is often cited by papers focused on Advanced machining processes and optimization (5 papers), Gestational Diabetes Research and Management (5 papers) and Pregnancy and preeclampsia studies (4 papers). Xin Yan collaborates with scholars based in China, Switzerland and United States. Xin Yan's co-authors include Mirjam R. Heldner, Marcel Arnold, Simon Jung, Urs Fischer, Marwan El‐Koussy, Jan Gralla, Heinrich P. Mattle, Anja Weck, Gerhard Schroth and Marie‐Luise Mono and has published in prestigious journals such as New England Journal of Medicine, Diabetes Care and Stroke.

In The Last Decade

Xin Yan

31 papers receiving 621 citations

Hit Papers

Biomarker Changes during 20 Years Preceding Alzheimer’s D... 2024 2026 2025 2024 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Biomarker Changes during 20 Years Preceding Alzheimer’s Disease
    2024 175 citations Jianping Jia, Yuye Ning et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Yan China 10 272 159 121 120 96 35 629
James S. McKinney United States 15 367 1.3× 104 0.7× 122 1.0× 305 2.5× 77 0.8× 24 942
Wei‐Chieh Weng Taiwan 12 155 0.6× 121 0.8× 30 0.2× 123 1.0× 33 0.3× 28 481
Manoj Mittal United States 19 424 1.6× 123 0.8× 44 0.4× 483 4.0× 55 0.6× 67 1.2k
G Seidel Germany 20 311 1.1× 201 1.3× 65 0.5× 464 3.9× 21 0.2× 62 1.1k
Bernd Kallmünzer Germany 17 396 1.5× 84 0.5× 67 0.6× 245 2.0× 30 0.3× 60 907
Foad Abd-Allah Egypt 16 632 2.3× 147 0.9× 262 2.2× 168 1.4× 22 0.2× 42 1.1k
Sang‐Hwa Lee South Korea 16 254 0.9× 111 0.7× 75 0.6× 105 0.9× 89 0.9× 104 811
Vanessa Baute United States 11 271 1.0× 95 0.6× 181 1.5× 194 1.6× 43 0.4× 12 615
Sajith Sukumaran India 11 227 0.8× 113 0.7× 135 1.1× 106 0.9× 47 0.5× 23 474
Guntram W. Ickenstein Germany 15 260 1.0× 264 1.7× 191 1.6× 101 0.8× 88 0.9× 25 769

Countries citing papers authored by Xin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Yan. A scholar is included among the top collaborators of Xin Yan 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 Xin Yan. Xin Yan 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
1.
Yan, Xin, et al.. (2025). A latent profile analysis of heterogeneity in self-management behavior of gestational diabetes mellitus patients. BMC Pregnancy and Childbirth. 25(1). 159–159.
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Yan, Xin, et al.. (2025). Short-term efficacy of early percutaneous cholecystostomy for pancreatitis and factors associated with recurrence and mortality. World Journal of Gastroenterology. 31(6). 101163–101163.
4.
Jia, Jianping, Yuye Ning, Meiling Chen, et al.. (2024). Biomarker Changes during 20 Years Preceding Alzheimer’s Disease. New England Journal of Medicine. 390(8). 712–722. 175 indexed citations breakdown →
5.
Ma, Yuru, Jia Wang, Yan Zhao, et al.. (2024). The influence of maternal prepregnancy weight and gestational weight gain on the umbilical cord blood metabolome: a case–control study. BMC Pregnancy and Childbirth. 24(1). 297–297. 4 indexed citations
6.
Zheng, Wei, Junhua Huang, Xin Yan, et al.. (2024). Neonatal Amino Acids and Acylcarnitines Associated With Maternal Blood Glucose Levels Throughout Pregnancy: Insights From the Beijing Birth Cohort Study. Diabetes Care. 47(12). 2128–2138. 1 indexed citations
7.
Yan, Xin, et al.. (2024). Low-dose aspirin for the prevention of preterm birth in nulliparous women: systematic review and meta-analysis. BMC Pregnancy and Childbirth. 24(1). 260–260. 4 indexed citations
8.
Yan, Xin, et al.. (2024). Gestational weight gain and pregnancy outcomes in Chinese women with type 2 diabetes mellitus: evidence from a tertiary hospital in Beijing. Frontiers in Endocrinology. 15. 1348382–1348382. 1 indexed citations
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Yan, Xin, et al.. (2023). CONUT score is associated with short-term prognosis in patients with severe acute pancreatitis: a propensity score matching cohort study. Frontiers in Nutrition. 10. 1115026–1115026. 3 indexed citations
11.
Yan, Xin, et al.. (2023). Albumin Corrected Anion Gap and the Risk of in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study. Journal of Inflammation Research. Volume 16. 2415–2422. 20 indexed citations
12.
Yan, Xin, et al.. (2022). Diagnostic Value and Application of Prenatal MRI and Ultrasound in Fetal Cleft Lip and Palate. Contrast Media & Molecular Imaging. 2022(1). 9410161–9410161. 5 indexed citations
13.
Tang, Lu, Qiong Yang, Xiaolu Liu, et al.. (2021). Mutation analysis of the GLA gene in Chinese patients with intracerebral hemorrhage. Neurobiology of Aging. 102. 220.e1–220.e4. 2 indexed citations
14.
Fischer, Urs, Frauke Kellner‐Weldon, Xin Yan, et al.. (2020). Symptomatic and asymptomatic intracranial atherosclerotic stenosis: 3 years’ prospective study. Journal of Neurology. 267(6). 1687–1698. 12 indexed citations
15.
Yan, Lirong, et al.. (2019). The value of serum uric acid levels to differentiate causes of transient loss of consciousness. Epilepsy & Behavior. 99. 106489–106489. 4 indexed citations
16.
Yan, Xin, Fangyu Li, Shuoqi Chen, & Jianping Jia. (2019). Associated Factors of Total Costs of Alzheimer’s Disease: A Cluster-Randomized Observational Study in China. Journal of Alzheimer s Disease. 69(3). 795–806. 25 indexed citations
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Zheng, Huaguang, et al.. (2009). The long-term outcome of carotid artery stenting or antiplatelet therapy in patients with severe carotid artery stenosis. Neurological Research. 31(4). 371–375. 3 indexed citations
20.
Tang, Bei, Kun Xia, Bo Xu, et al.. (2005). [Mutation analysis of PINK1 gene in Chinese patients with autosomal recessive early-onset parkinsonism type 6].. PubMed. 85(22). 1538–41. 5 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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