Mark S. Chapman

1.0k total citations
10 papers, 466 citations indexed

About

Mark S. Chapman is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Mark S. Chapman has authored 10 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Mark S. Chapman's work include Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Mark S. Chapman is often cited by papers focused on Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Mark S. Chapman collaborates with scholars based in United States and Canada. Mark S. Chapman's co-authors include Jeffrey N. Miner, Roger L. Miesfeld, Xavier Carbonell, Fred Schaufele, Marc I. Diamond, David J. Askew, A. Negro‐Vilar, Mei Hong, William Y. Chang and Jon Rosen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrinology and Molecular Endocrinology.

In The Last Decade

Mark S. Chapman

10 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark S. Chapman United States	8	255	144	141	111	79	10	466
Kenneth W. Batchelor United States	9	159 0.6×	138 1.0×	138 1.0×	111 1.0×	53 0.7×	12	442
Diana Melchers Netherlands	10	166 0.7×	75 0.5×	164 1.2×	80 0.7×	71 0.9×	20	372
Thirumagal Thiyagarajan United States	15	339 1.3×	96 0.7×	102 0.7×	201 1.8×	76 1.0×	23	617
Andrea B. Sherk United States	7	338 1.3×	54 0.4×	178 1.3×	98 0.9×	106 1.3×	7	527
Stefanie Kerkhofs Belgium	7	244 1.0×	145 1.0×	218 1.5×	173 1.6×	42 0.5×	9	471
Marc Dufour Switzerland	9	235 0.9×	54 0.4×	84 0.6×	91 0.8×	66 0.8×	10	375
Jinpei Kumagai Japan	11	249 1.0×	68 0.5×	126 0.9×	176 1.6×	87 1.1×	14	437
Hortensia Faus Germany	8	247 1.0×	57 0.4×	115 0.8×	93 0.8×	56 0.7×	8	401
Kristine M. Wadosky United States	15	403 1.6×	71 0.5×	70 0.5×	236 2.1×	96 1.2×	25	631
Jason M. D’Antonio United States	8	174 0.7×	87 0.6×	52 0.4×	223 2.0×	75 0.9×	10	352

Countries citing papers authored by Mark S. Chapman

Since Specialization

Citations

This map shows the geographic impact of Mark S. 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 S. 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 S. Chapman more than expected).

Fields of papers citing papers by Mark S. Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark S. Chapman

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

All Works

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10 of 10 papers shown

Deeb, Kristin K., et al.. (2015). The c.1364C>A (p.A455E) Mutation in the CFTR Pseudogene Results in an Incorrectly Assigned Carrier Status by a Commonly Used Screening Platform. Journal of Molecular Diagnostics. 17(4). 360–365. 4 indexed citations

Chapman, Mark S., Lan Wu, Aldo Amatucci, Steffan N. Ho, & Jennifer S. Michaelson. (2012). TWEAK signals through JAK–STAT to induce tumor cell apoptosis. Cytokine. 61(1). 210–217. 17 indexed citations

Chapman, Mark S. & Jeffrey N. Miner. (2011). Novel mitogen-activated protein kinase kinase inhibitors. Expert Opinion on Investigational Drugs. 20(2). 209–220. 29 indexed citations

Chapman, Mark S., et al.. (2010). Antitumour activity of a potent MEK inhibitor RDEA119/BAY 869766 combined with rapamycin in human orthotopic primary pancreatic cancer xenografts. BMC Cancer. 10(1). 515–515. 28 indexed citations

Hong, Mei, Hong Sun, Cheng Jin, et al.. (2007). Cell-Specific Activation of the Human Skeletal α-Actin by Androgens. Endocrinology. 149(3). 1103–1112. 12 indexed citations

Miner, Jeffrey N., William Y. Chang, Mark S. Chapman, et al.. (2006). An Orally Active Selective Androgen Receptor Modulator Is Efficacious on Bone, Muscle, and Sex Function with Reduced Impact on Prostate. Endocrinology. 148(1). 363–373. 98 indexed citations

Schaufele, Fred, et al.. (2005). The structural basis of androgen receptor activation: Intramolecular and intermolecular amino–carboxy interactions. Proceedings of the National Academy of Sciences. 102(28). 9802–9807. 161 indexed citations

Chapman, Mark S., et al.. (1996). Transcriptional control of steroid-regulated apoptosis in murine thymoma cells.. Molecular Endocrinology. 10(8). 967–978. 74 indexed citations

Grigorieva, I. V., Mark S. Chapman, & Joshua Epstein. (1996). Constitutively activated STAT3 in myeloma cells. 12. 104. 2 indexed citations

10.

Chapman, Mark S., et al.. (1995). Isolation of differentially expressed sequence tags from steroid-responsive cells using mRNA differential display. Molecular and Cellular Endocrinology. 108(1-2). R1–R7. 41 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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