Mark Chapman

3.1k total citations
63 papers, 2.1k citations indexed

About

Mark Chapman is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Mark Chapman has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 16 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Mark Chapman's work include Muscle Physiology and Disorders (7 papers), Adipose Tissue and Metabolism (6 papers) and Colorectal Cancer Screening and Detection (5 papers). Mark Chapman is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Adipose Tissue and Metabolism (6 papers) and Colorectal Cancer Screening and Detection (5 papers). Mark Chapman collaborates with scholars based in United Kingdom, United States and Sweden. Mark Chapman's co-authors include Richard L. Lieber, R. Taylor, A Samad, Tom Marshall, N S Williams, M. Grahn, M. Hutton, Gregory R. Mundy, Rogely Boyce and Toshiyuki Yoneda and has published in prestigious journals such as Gastroenterology, The Journal of Physiology and Cancer.

In The Last Decade

Mark Chapman

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Chapman United Kingdom 24 745 670 398 356 233 63 2.1k
Étienne Marbaix Belgium 42 527 0.7× 1.1k 1.6× 405 1.0× 368 1.0× 636 2.7× 165 4.9k
Bryce A. Binstadt United States 27 284 0.4× 579 0.9× 297 0.7× 355 1.0× 277 1.2× 77 2.8k
Takaaki Tsunematsu Japan 29 455 0.6× 937 1.4× 219 0.6× 230 0.6× 214 0.9× 85 2.3k
Jinah Han United States 20 536 0.7× 1.4k 2.0× 392 1.0× 987 2.8× 187 0.8× 32 2.9k
Cláudia Scheuer Germany 36 629 0.8× 840 1.3× 946 2.4× 144 0.4× 128 0.5× 136 3.5k
Tetsuya Hirata Japan 43 186 0.2× 705 1.1× 360 0.9× 185 0.5× 161 0.7× 168 5.0k
Naoshi Fukui Japan 35 497 0.7× 738 1.1× 968 2.4× 155 0.4× 215 0.9× 106 3.2k
Sandeep K. Agarwal United States 38 408 0.5× 950 1.4× 233 0.6× 308 0.9× 701 3.0× 94 4.1k
Ashwani Gupta India 19 318 0.4× 811 1.2× 354 0.9× 89 0.3× 148 0.6× 89 1.9k
Satoshi Maruyama Japan 28 631 0.8× 610 0.9× 484 1.2× 185 0.5× 236 1.0× 176 2.5k

Countries citing papers authored by Mark Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Mark Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Chapman. A scholar is included among the top collaborators of Mark Chapman 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 Mark Chapman. Mark Chapman 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.
Chen, Diana, Laura Gelles, Susan Lord, et al.. (2024). Lessons Learned: How Our Agile Department Survived the COVID-19 Pivot. 2021 ASEE Virtual Annual Conference Content Access Proceedings.
2.
Lázár, Enikő, Stefan Markus Reitzner, Mark Chapman, et al.. (2023). FiNuTyper: Design and validation of an automated deep learning‐based platform for simultaneous fiber and nucleus type analysis in human skeletal muscle. Acta Physiologica. 239(1). e13982–e13982. 2 indexed citations
3.
4.
Demetriou, George & Mark Chapman. (2021). Primary closure versus Graham patch omentopexy in perforated peptic ulcer: A systematic review and meta-analysis. The Surgeon. 20(3). e61–e67. 6 indexed citations
5.
Chapman, Mark, et al.. (2020). Assessing preschool English learners’ receptive and expressive language ability to inform instruction. International Journal of Bilingual Education and Bilingualism. 25(5). 1857–1876. 1 indexed citations
6.
Chapman, Mark, Muhammad Arif, Stefan Markus Reitzner, et al.. (2020). Skeletal Muscle Transcriptomic Comparison between Long-Term Trained and Untrained Men and Women. Cell Reports. 31(12). 107808–107808. 44 indexed citations
7.
Chapman, Mark, et al.. (2016). Skeletal muscle fibroblasts in health and disease. Differentiation. 92(3). 108–115. 91 indexed citations
8.
Johnson, Stephen M., et al.. (2014). Respiratory neuron characterization reveals intrinsic bursting properties in isolated adult turtle brainstems (Trachemys scripta). Respiratory Physiology & Neurobiology. 224. 52–61. 8 indexed citations
9.
Chapman, Mark, Jianlin Zhang, Indroneal Banerjee, et al.. (2014). Disruption of both nesprin 1 and desmin results in nuclear anchorage defects and fibrosis in skeletal muscle. Human Molecular Genetics. 23(22). 5879–5892. 45 indexed citations
10.
Chapman, Mark, et al.. (2013). The role of anorectal investigations in predicting the outcome of biofeedback in the treatment of faecal incontinence. Scandinavian Journal of Gastroenterology. 48(11). 1265–1271. 8 indexed citations
11.
Chapman, Mark, et al.. (2012). Colorectal polyps: when should we tattoo?. Surgical Endoscopy. 26(11). 3264–3266. 17 indexed citations
12.
Košťál, Vratislav, et al.. (2011). Semi-automated image analysis: detecting carbonylation in subcellular regions of skeletal muscle. Analytical and Bioanalytical Chemistry. 400(1). 213–222. 3 indexed citations
13.
Chapman, Mark, et al.. (2011). Is whole colonic imaging necessary for symptoms of change in bowel habit and/or rectal bleeding?. Colorectal Disease. 14(10). 1197–1200. 4 indexed citations
14.
Zafar, Atif, et al.. (2011). The 2‐week wait referral system does not improve 5‐year colorectal cancer survival. Colorectal Disease. 14(4). e177–80. 38 indexed citations
15.
Cole, Nicholas J., Thomas E. Hall, Mark Chapman, et al.. (2004). Temperature and the expression of myogenic regulatory factors (MRFs) and myosin heavy chain isoforms during embryogenesis in the common carpCyprinus carpioL.. Journal of Experimental Biology. 207(24). 4239–4248. 33 indexed citations
16.
Durrant, Lindy G., et al.. (2003). Enhanced expression of the complement regulatory protein CD55 predicts a poor prognosis in colorectal cancer patients. Cancer Immunology Immunotherapy. 52(10). 638–642. 84 indexed citations
17.
Singh, Sukhdev, et al.. (2002). Sulphide‐induced energy deficiency in colonic cells is prevented by glucose but not by butyrate. Alimentary Pharmacology & Therapeutics. 16(2). 325–331. 23 indexed citations
18.
Chapman, Mark, J D Hardcastle, & Nicholas Armitage. (1995). Five-year prospective study of DNA tumor ploidy and colorectal cancer survival. Cancer. 76(3). 383–387. 35 indexed citations
19.
Chapman, Mark, et al.. (1994). Butyrate oxidation is impaired in the colonic mucosa of sufferers of quiescent ulcerative colitis.. Gut. 35(1). 73–76. 195 indexed citations
20.
Chapman, Mark, M. Grahn, P. Giamundo, et al.. (1993). New technique to measure mucosal metabolism and its use to map substrate utilization in the healthy human large bowel. British journal of surgery. 80(4). 445–449. 28 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

Breakdown of academic impact, for papers by Étienne Marbaix Breakdown of academic impact, for papers by Bryce A. Binstadt Breakdown of academic impact, for papers by Takaaki Tsunematsu Breakdown of academic impact, for papers by Jinah Han Breakdown of academic impact, for papers by Cláudia Scheuer Breakdown of academic impact, for papers by Tetsuya Hirata Breakdown of academic impact, for papers by Naoshi Fukui Breakdown of academic impact, for papers by Sandeep K. Agarwal Breakdown of academic impact, for papers by Ashwani Gupta Breakdown of academic impact, for papers by Satoshi Maruyama
Rankless by CCL
2026