C. Weng

519 total citations
11 papers, 370 citations indexed

About

C. Weng is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology and Neurology. According to data from OpenAlex, C. Weng has authored 11 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Dermatology and 2 papers in Neurology. Recurrent topics in C. Weng's work include Diabetic Foot Ulcer Assessment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Skin Diseases and Diabetes (3 papers). C. Weng is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Skin Diseases and Diabetes (3 papers). C. Weng collaborates with scholars based in United Kingdom, China and Germany. C. Weng's co-authors include D.V. Coppini, Peter H. Sönksen, Philip J. Young, P.H. Sönksen, V. J. Rayward‐Smith, Graeme Richards, A F Macleod, Andreas Wellmer, Bo Jin and Le Zheng and has published in prestigious journals such as Journal of Clinical Epidemiology, Journal of Medical Internet Research and Diabetic Medicine.

In The Last Decade

C. Weng

11 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Weng United Kingdom 7 144 72 69 62 50 11 370
Ljiljana Trtica Majnarić Croatia 14 87 0.6× 52 0.7× 10 0.1× 80 1.3× 35 0.7× 58 538
Kunal Malhotra United States 9 40 0.3× 29 0.4× 46 0.7× 27 0.4× 10 0.2× 37 425
François Gueyffier France 12 32 0.2× 14 0.2× 22 0.3× 31 0.5× 26 0.5× 32 533
İlke Kurt Türkiye 7 22 0.2× 68 0.9× 25 0.4× 48 0.8× 41 0.8× 22 450
Dana Pop Romania 14 132 0.9× 90 1.3× 13 0.2× 22 0.4× 28 0.6× 143 743
Abdus Salam Khan Pakistan 10 51 0.4× 58 0.8× 9 0.1× 28 0.5× 13 0.3× 38 429
Xiaoqing Jin China 8 25 0.2× 29 0.4× 11 0.2× 54 0.9× 71 1.4× 10 408
Kitty Rosenbrand Netherlands 8 30 0.2× 113 1.6× 9 0.1× 38 0.6× 39 0.8× 12 566
Shiva Borzouei Iran 13 116 0.8× 31 0.4× 9 0.1× 21 0.3× 32 0.6× 55 357

Countries citing papers authored by C. Weng

Since Specialization
Citations

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

Fields of papers citing papers by C. Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Weng

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

All Works

11 of 11 papers shown
2.
Yang, Xiaofang, C. Weng, Xiaoqing Wang, et al.. (2025). Unsupervised machine learning model for phenogroup-based stratification in acute type A aortic dissection to identify postoperative acute gastrointestinal injury. Frontiers in Cardiovascular Medicine. 11. 1514751–1514751. 1 indexed citations
3.
Zhang, Yan, Shiying Hao, Le Zheng, et al.. (2019). Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine. Journal of Medical Internet Research. 21(5). e13260–e13260. 35 indexed citations
4.
Richards, Graeme, et al.. (2001). Data mining for indicators of early mortality in a database of clinical records. Artificial Intelligence in Medicine. 22(3). 215–231. 82 indexed citations
5.
Coppini, D.V., et al.. (2001). The natural history of diabetic peripheral neuropathy determined by a 12 year prospective study using vibration perception thresholds. Journal of Clinical Neuroscience. 8(6). 520–524. 36 indexed citations
6.
Weng, C., D.V. Coppini, & Peter H. Sönksen. (2000). Geographic and social factors are related to increased morbidity and mortality rates in diabetic patients. Diabetic Medicine. 17(8). 612–617. 71 indexed citations
7.
Coppini, D.V., et al.. (2000). Showing neuropathy is related to increased mortality in diabetic patients — a survival analysis using an accelerated failure time model. Journal of Clinical Epidemiology. 53(5). 519–523. 85 indexed citations
8.
Coppini, D.V., Philip J. Young, C. Weng, A F Macleod, & Peter H. Sönksen. (1998). Outcome on diabetic foot complications in relation to clinical examination and quantitative sensory testing: a case-control study. Diabetic Medicine. 15(9). 765–771. 48 indexed citations
9.
Coppini, D.V., et al.. (1998). Outcome on diabetic foot complications in relation to clinical examination and quantitative sensory testing: a case–control study. Diabetic Medicine. 15(9). 765–771. 1 indexed citations
10.
Weng, C., D.V. Coppini, & Peter H. Sönksen. (1997). Linking a hospital diabetes database and the National Health Service Central Register: a way to establish accurate mortality and movement data. Diabetic Medicine. 14(10). 877–883. 9 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