Richard Pang

1.5k total citations
45 papers, 1.1k citations indexed

About

Richard Pang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Richard Pang has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Richard Pang's work include Lipoproteins and Cardiovascular Health (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Cancer, Lipids, and Metabolism (6 papers). Richard Pang is often cited by papers focused on Lipoproteins and Cardiovascular Health (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Cancer, Lipids, and Metabolism (6 papers). Richard Pang collaborates with scholars based in China, Hong Kong and United States. Richard Pang's co-authors include Edward Janus, Annie W. C. Kung, Annie W.C. Kung, Karen S.L. Lam, Chor Sang Chim, Tsz Kan Fung, Raymond Liang, I Lauder, K. C. B. Tan and Arno Lingenhel and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Diabetologia.

In The Last Decade

Richard Pang

41 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Pang China 19 385 324 217 151 108 45 1.1k
Michael M. Ritter Germany 18 551 1.4× 206 0.6× 476 2.2× 196 1.3× 131 1.2× 43 1.2k
Karen L. Hile United States 22 133 0.3× 477 1.5× 258 1.2× 79 0.5× 86 0.8× 32 1.4k
Akio Kawakami Japan 20 482 1.3× 385 1.2× 591 2.7× 235 1.6× 77 0.7× 43 1.5k
Matthias Breidert Germany 14 191 0.5× 146 0.5× 250 1.2× 60 0.4× 50 0.5× 50 863
M Weissel Austria 19 454 1.2× 230 0.7× 139 0.6× 30 0.2× 135 1.3× 101 1.2k
Seong Yeon Kim South Korea 23 335 0.9× 614 1.9× 241 1.1× 127 0.8× 180 1.7× 51 1.4k
Chiung‐Kuei Huang United States 22 150 0.4× 531 1.6× 104 0.5× 195 1.3× 101 0.9× 48 1.1k
Scott M. MacKenzie United Kingdom 21 839 2.2× 267 0.8× 443 2.0× 62 0.4× 119 1.1× 53 1.3k
Dennis B. Henriksen Denmark 16 465 1.2× 621 1.9× 267 1.2× 60 0.4× 104 1.0× 25 1.6k

Countries citing papers authored by Richard Pang

Since Specialization
Citations

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

Fields of papers citing papers by Richard Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Pang. A scholar is included among the top collaborators of Richard Pang 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 Richard Pang. Richard Pang 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.
Pang, Richard, et al.. (2024). Difficulties in Implementing a Process That Uses Internal Quality Control Materials for Traceability Verification of Measurement Procedures. The Journal of Applied Laboratory Medicine. 9(3). 651–653.
2.
3.
Zhou, Jianqiu, et al.. (2020). Plasma Metabolomics and Lipidomics Reveal Perturbed Metabolites in Different Disease Stages of Chronic Obstructive Pulmonary Disease. SHILAP Revista de lepidopterología. 1 indexed citations
4.
Wang, Limin, Richard Pang, Qian Deng, et al.. (2016). Should quality goals be defined for multicenter laboratory testing? Lessons learned from a pilot survey on a national surveillance program for diabetes. International Journal for Quality in Health Care. 28(2). 259–263. 3 indexed citations
5.
Liu, Yong, et al.. (2015). [Designing and implementation of a web-based quality monitoring system for plasma glucose measurement in multicenter population study].. PubMed. 36(5). 506–9. 2 indexed citations
6.
Zhang, Wenqing, Bao‐Chun Jiang, Zheng Guo, et al.. (2010). Four-and-a-half LIM protein 2 promotes invasive potential and epithelial-mesenchymal transition in colon cancer. Carcinogenesis. 31(7). 1220–1229. 61 indexed citations
7.
Wang, Jide, Bing Zou, Claude Sardet, et al.. (2010). Four and a half LIM protein 2 (FHL2) negatively regulates the transcription of E-cadherin through interaction with Snail1. European Journal of Cancer. 47(1). 121–130. 40 indexed citations
8.
Wang, Jiguang, Wenqing Zhang, Yusheng Zhang, et al.. (2008). c-Jun N-terminal kinase (JNK1) upregulates XIAP-associated factor 1 (XAF1) through interferon regulatory factor 1 (IRF-1) in gastrointestinal cancer. Carcinogenesis. 30(2). 222–229. 21 indexed citations
9.
Chim, Chor Sang, et al.. (2007). Epigenetic dysregulation of Wnt signaling pathway in multiple myeloma. Leukemia. 21(12). 2527–2536. 113 indexed citations
10.
11.
Tan, K. C. B., et al.. (2004). Determinants of postprandial triglyceride and remnant-like lipoproteins in type 2 diabetes. Diabetes/Metabolism Research and Reviews. 21(2). 209–214. 6 indexed citations
12.
Tan, K. C. B., Richard Pang, Sau Cheung Tiu, & Karen S.L. Lam. (2003). Effects of treatment with Sandostatin®LAR®on small dense LDL and remnant‐like lipoproteins in patients with acromegaly. Clinical Endocrinology. 59(5). 558–564. 12 indexed citations
13.
Pang, Richard & Karen S.L. Lam. (2002). Hormonal influences on lipoprotein(a) metabolism. Diabetes Obesity and Metabolism. 4(3). 156–165. 4 indexed citations
14.
Cheng, Ignatius K.P., Karen S.L. Lam, Edward Janus, Richard Pang, & I Lauder. (1997). Treatment of Hyperlipidaemia in Patients with Non-Insulin-Dependent Diabetes mellitus with Progressive Nephropathy. Contributions to nephrology. 120. 79–87. 12 indexed citations
15.
Kung, Annie W. C., Terence T. Lao, L.C.K. Low, Richard Pang, & Joseph D. Robinson. (1997). Iodine insufficiency and neonatal hyperthyrotropinaemia in Hong Kong. Clinical Endocrinology. 46(3). 315–319. 30 indexed citations
16.
Pang, Richard, Herman Turndorf, & David Quartermain. (1996). Pavlovian fear conditioning in mice anesthetized with halothane. Physiology & Behavior. 59(4-5). 873–875. 18 indexed citations
17.
Pang, Richard, et al.. (1996). Apolipoprotein (a) levels and phenotypes in NIDDM patients with microalbuminuria and albuminuria. Nephrology Dialysis Transplantation. 11(11). 2229–2236. 4 indexed citations
18.
Kraft, H.G., Arno Lingenhel, Richard Pang, et al.. (1996). Frequency Distributions ofApolipoprotein(a) Kringle IV RepeatAlleles and Their Effects onLipoprotein(a) Levels in Caucasian,Asian, and African Populations:The Distribution of Null Alleles IsNon-Random. European Journal of Human Genetics. 4(2). 74–87. 107 indexed citations
19.
Kung, Annie W. C., Richard Pang, & Edward Janus. (1995). Elevated serum lipoprotein(a) in subclinical hypothyroidism. Clinical Endocrinology. 43(4). 445–449. 125 indexed citations
20.
Quartermain, David, et al.. (1992). Halothane anesthesia causes state-dependent retrieval failure in mice. Physiology & Behavior. 52(3). 449–453. 6 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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