Mark M. Compton

2.8k total citations
44 papers, 2.3k citations indexed

About

Mark M. Compton is a scholar working on Molecular Biology, Immunology and Animal Science and Zoology. According to data from OpenAlex, Mark M. Compton has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Immunology and 5 papers in Animal Science and Zoology. Recurrent topics in Mark M. Compton's work include Immune Cell Function and Interaction (8 papers), Immune Response and Inflammation (8 papers) and T-cell and B-cell Immunology (8 papers). Mark M. Compton is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Immune Response and Inflammation (8 papers) and T-cell and B-cell Immunology (8 papers). Mark M. Compton collaborates with scholars based in United States and United Kingdom. Mark M. Compton's co-authors include John A. Cidlowski, H.P. Van Krey, Clifton A. Baile, Rebecca M. Terns, Michael P. Terns, Neil T. Pfister, Diane L. Hartzell, Raphael J. Witorsch, Gary J. Hausman and M. J. Azain and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Endocrine Reviews.

In The Last Decade

Mark M. Compton

44 papers receiving 2.2k 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 M. Compton United States 23 1.3k 371 276 267 247 44 2.3k
Hiroshi Kitani Japan 33 1.3k 1.1× 552 1.5× 639 2.3× 193 0.7× 296 1.2× 122 3.2k
Arie B. Vaandrager Netherlands 37 1.9k 1.5× 426 1.1× 423 1.5× 200 0.7× 769 3.1× 90 3.8k
Craig V. Byus United States 30 2.8k 2.3× 435 1.2× 243 0.9× 516 1.9× 346 1.4× 65 4.6k
Susan J. Birren United States 36 2.1k 1.7× 356 1.0× 276 1.0× 401 1.5× 217 0.9× 68 4.8k
Hilary A. Overton United Kingdom 17 1.0k 0.8× 285 0.8× 380 1.4× 295 1.1× 124 0.5× 23 2.1k
TuKiet T. Lam United States 29 1.6k 1.3× 219 0.6× 285 1.0× 198 0.7× 417 1.7× 113 3.0k
Ann E. Sluder United States 28 1.4k 1.1× 300 0.8× 380 1.4× 389 1.5× 165 0.7× 53 3.3k
Mary McKee United States 34 2.3k 1.9× 602 1.6× 174 0.6× 288 1.1× 489 2.0× 51 4.0k
Hiroshi Teraoka Japan 33 2.5k 2.0× 369 1.0× 331 1.2× 530 2.0× 387 1.6× 102 4.5k
Tetsu Saito Japan 28 1.6k 1.2× 729 2.0× 139 0.5× 220 0.8× 442 1.8× 69 3.0k

Countries citing papers authored by Mark M. Compton

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Compton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark M. Compton

This figure shows the co-authorship network connecting the top 25 collaborators of Mark M. Compton. A scholar is included among the top collaborators of Mark M. Compton 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 M. Compton. Mark M. Compton 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.
Majumdar, Sonali, Peng Zhao, Neil T. Pfister, et al.. (2015). Three CRISPR-Cas immune effector complexes coexist in Pyrococcus furiosus. RNA. 21(6). 1147–1158. 39 indexed citations
2.
Hale, Caryn, Sonali Majumdar, Joshua R. Elmore, et al.. (2012). Essential Features and Rational Design of CRISPR RNAs that Function with the Cas RAMP Module Complex to Cleave RNAs. Molecular Cell. 45(3). 292–302. 230 indexed citations
3.
Carte, Jason, Neil T. Pfister, Mark M. Compton, Rebecca M. Terns, & Michael P. Terns. (2010). Binding and cleavage of CRISPR RNA by Cas6. RNA. 16(11). 2181–2188. 122 indexed citations
4.
Compton, Mark M., et al.. (2007). The N-Terminus ofDictyosteliumScar Interacts with Abi and HSPC300 and Is Essential for Proper Regulation and Function. Molecular Biology of the Cell. 18(5). 1609–1620. 15 indexed citations
5.
Yang, Chun, Mark M. Compton, & Pinfen Yang. (2004). Dimeric Novel HSP40 Is Incorporated into the Radial Spoke Complex during the Assembly Process in Flagella. Molecular Biology of the Cell. 16(2). 637–648. 44 indexed citations
6.
Compton, Mark M., et al.. (2002). Generation of multicolored, prestained molecular weight markers for gel electrophoresis.. Electrophoresis. 23(19). 3262–3265. 8 indexed citations
7.
Compton, Mark M., et al.. (2001). The analysis of cThy28 expression in avian lymphocytes. APOPTOSIS. 6(4). 299–314. 10 indexed citations
8.
Hausman, Dorothy B., Mark M. Compton, Roy J. Martin, et al.. (2001). TNFα Induces and Insulin Inhibits Caspase 3-Dependent Adipocyte Apoptosis. Biochemical and Biophysical Research Communications. 284(5). 1176–1183. 51 indexed citations
9.
Kim, Hyunsook, Dorothy B. Hausman, Mark M. Compton, et al.. (2000). Induction of Apoptosis by All-trans-Retinoic Acid and C2-Ceramide Treatment in Rat Stromal–Vascular Cultures. Biochemical and Biophysical Research Communications. 270(1). 76–80. 23 indexed citations
10.
Qian, Haoliang, C.R. Barb, Mark M. Compton, et al.. (1999). Leptin mRNA expression and serum leptin concentrations as influenced by age, weight, and estradiol in pigs. Domestic Animal Endocrinology. 16(2). 135–143. 85 indexed citations
11.
Hausman, Gary, et al.. (1998). Down-regulation of CCAAT/enhancer binding proteins α, β and δ in adipose tissue by intracerebroventricular leptin in rats. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1442(2-3). 245–251. 9 indexed citations
12.
Compton, Mark M. & Heidi M. Waldrip. (1998). Endogenous Activation of Apoptosis in Bursal Lymphocytes: Inhibition by Phorbol Esters and Protein Synthesis Inhibitors. Cellular Immunology. 184(2). 143–152. 11 indexed citations
13.
Thomson, John M., Heidi M. Waldrip, & Mark M. Compton. (1997). Identification of a differential display product associated with apoptosis in chicken thymocytes. Developmental & Comparative Immunology. 21(5). 413–424. 1 indexed citations
14.
Machaca, Khaled & Mark M. Compton. (1993). Analysis of thymic lymphocyte apoptosis using in vitro techniques. Developmental & Comparative Immunology. 17(3). 263–276. 15 indexed citations
15.
Machaca, Khaled & Mark M. Compton. (1992). Characterization of apoptosis‐like endonuclease activity in avian thymocytes. Biology of the Cell. 76(1). 15–22. 7 indexed citations
16.
Compton, Mark M., et al.. (1991). Activation of Thymocyte Deoxyribonucleic Acid Degradation by Endogenous Glucocorticoids. Poultry Science. 70(3). 521–529. 13 indexed citations
17.
Compton, Mark M.. (1991). Development of an Apoptosis Endonuclease Assay. DNA and Cell Biology. 10(2). 133–141. 30 indexed citations
18.
Gaido, Marcia L., et al.. (1991). Identification and characterization of glucocorticoid-regulated nuclease(s) in lymphoid cells undergoing apoptosis. The Journal of Steroid Biochemistry and Molecular Biology. 40(4-6). 661–671. 43 indexed citations
19.
Compton, Mark M., J. S. Haskill, & John A. Cidlowski. (1988). Analysis of Glucocorticoid Actions on Rat Thymocyte Deoxyribonucleic Acid by Fluorescence-Activated Flow Cytometry*. Endocrinology. 122(5). 2158–2164. 81 indexed citations
20.
Compton, Mark M., et al.. (1987). Glucocorticoid action on the immune system. Journal of Steroid Biochemistry. 27(1-3). 201–208. 71 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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