Clark R. Coffman

1.4k total citations
23 papers, 1.1k citations indexed

About

Clark R. Coffman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Education. According to data from OpenAlex, Clark R. Coffman has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Education. Recurrent topics in Clark R. Coffman's work include Developmental Biology and Gene Regulation (5 papers), Innovative Teaching Methods (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Clark R. Coffman is often cited by papers focused on Developmental Biology and Gene Regulation (5 papers), Innovative Teaching Methods (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Clark R. Coffman collaborates with scholars based in United States and United Kingdom. Clark R. Coffman's co-authors include William A. Harris, Chris Kintner, Paul Skoglund, Monica H. Lamm, Patrick Ian Armstrong, Shana K. Carpenter, Robert D. Reason, Jason Geller, Yukiko Yamada and Jo Anne Powell‐Coffman and has published in prestigious journals such as Science, Cell and PLoS ONE.

In The Last Decade

Clark R. Coffman

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clark R. Coffman United States 15 730 191 174 142 131 23 1.1k
Michael Parsons United States 19 537 0.7× 215 1.1× 70 0.4× 85 0.6× 105 0.8× 43 1.5k
Sally G. Hoskins United States 16 307 0.4× 83 0.4× 406 2.3× 99 0.7× 518 4.0× 28 1.2k
Sanne Kuijper Netherlands 10 713 1.0× 109 0.6× 127 0.7× 188 1.3× 34 0.3× 18 1.1k
Weiguo Shu United States 11 1.3k 1.8× 111 0.6× 111 0.6× 322 2.3× 17 0.1× 15 2.1k
Lili C. Kudo United States 13 607 0.8× 86 0.5× 138 0.8× 238 1.7× 10 0.1× 21 1.1k
Grace Gray United States 9 709 1.0× 342 1.8× 389 2.2× 74 0.5× 36 0.3× 12 1.3k
Julie Gauthier Canada 19 754 1.0× 191 1.0× 245 1.4× 847 6.0× 23 0.2× 38 1.5k
Thierry Lints United States 17 1.4k 2.0× 178 0.9× 215 1.2× 409 2.9× 10 0.1× 21 2.7k
Leslie M. Stevens United States 22 1.2k 1.6× 352 1.8× 471 2.7× 284 2.0× 295 2.3× 39 2.0k
Mónica I. Feliú-Mójer United States 10 239 0.3× 105 0.5× 246 1.4× 62 0.4× 39 0.3× 13 586

Countries citing papers authored by Clark R. Coffman

Since Specialization
Citations

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

Fields of papers citing papers by Clark R. Coffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clark R. Coffman. 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 Clark R. Coffman. The network helps show where Clark R. Coffman may publish in the future.

Co-authorship network of co-authors of Clark R. Coffman

This figure shows the co-authorship network connecting the top 25 collaborators of Clark R. Coffman. A scholar is included among the top collaborators of Clark R. Coffman 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 Clark R. Coffman. Clark R. Coffman 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.
Frantz, Kyle J., Rebecca Price, Tatiane Russo‐Tait, & Clark R. Coffman. (2024). Annotations of LSE Research: Enhancing Accessibility and Promoting High Quality Biology Education Research. CBE—Life Sciences Education. 23(1). fe2–fe2.
2.
Lamm, Monica H., et al.. (2020). A Study of the Testing Effect in an Engineering Classroom. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations
3.
Geller, Jason, et al.. (2017). Study strategies and beliefs about learning as a function of academic achievement and achievement goals. Memory. 26(5). 683–690. 66 indexed citations
4.
Geller, Jason, et al.. (2017). Prequestions do not enhance the benefits of retrieval in a STEM classroom. Cognitive Research Principles and Implications. 2(1). 42–42. 22 indexed citations
5.
Carpenter, Shana K., et al.. (2017). Students’ Use of Optional Online Reviews and Its Relationship to Summative Assessment Outcomes in Introductory Biology. CBE—Life Sciences Education. 16(2). ar23–ar23. 26 indexed citations
6.
Carpenter, Shana K., et al.. (2015). A Classroom Study on the Relationship Between Student Achievement and Retrieval-Enhanced Learning. Educational Psychology Review. 28(2). 353–375. 61 indexed citations
7.
Pruitt, Margaret, Monica H. Lamm, & Clark R. Coffman. (2013). Molecular dynamics simulations on the Tre1 G protein-coupled receptor: exploring the role of the arginine of the NRY motif in Tre1 structure. BMC Structural Biology. 13(1). 15–15. 7 indexed citations
8.
Addis, Elizabeth A., Diane C. Bassham, Philip W. Becraft, et al.. (2013). Implementing Pedagogical Change in Introductory Biology Courses Through the Use of Faculty Learning Communities. Journal of College Science Teaching. 43(2). 22–29. 24 indexed citations
9.
Howell, Stephen H., et al.. (2013). Integrating active learning into a large introductory course: Preparing students for success in science. The FASEB Journal. 27(S1). 1 indexed citations
10.
Reyon, Deepak, Jeffry D. Sander, Feng Zhang, et al.. (2011). ZFNGenome: A comprehensive resource for locating zinc finger nuclease target sites in model organisms. BMC Genomics. 12(1). 83–83. 31 indexed citations
12.
Coffman, Clark R., et al.. (2007). Programmed cell death of primordial germ cells inDrosophilais regulated by p53 and the Outsiders monocarboxylate transporter. Development. 135(2). 207–216. 45 indexed citations
13.
Skoglund, Paul, et al.. (2006). Xenopus fibrillin is expressed in the organizer and is the earliest component of matrix at the developing notochord‐somite boundary. Developmental Dynamics. 235(7). 1974–1983. 27 indexed citations
14.
Yamada, Yukiko & Clark R. Coffman. (2005). DNA Damage‐Induced Programmed Cell Death: Potential Roles in Germ Cell Development. Annals of the New York Academy of Sciences. 1049(1). 9–16. 14 indexed citations
15.
Coffman, Clark R., et al.. (2005). G Protein‐Coupled Receptor Roles in Cell Migration and Cell Death Decisions. Annals of the New York Academy of Sciences. 1049(1). 17–23. 10 indexed citations
16.
Coffman, Clark R.. (2003). Cell Migration and Programmed Cell Death of Drosophila Germ Cells. Annals of the New York Academy of Sciences. 995(1). 117–126. 16 indexed citations
17.
Coffman, Clark R., et al.. (2002). Identification of X-Linked Genes Required for Migration and Programmed Cell Death of Drosophila melanogaster Germ Cells. Genetics. 162(1). 273–284. 27 indexed citations
18.
Coffman, Clark R., Paul Skoglund, William A. Harris, & Chris Kintner. (1993). Expression of an extracellular deletion of Xotch diverts cell fate in Xenopus embryos. Cell. 73(4). 659–671. 330 indexed citations
19.
Sakaguchi, Donald S., et al.. (1989). Growth cone interactions with a glial cell line from embryonic Xenopus retina. Developmental Biology. 134(1). 158–174. 40 indexed citations
20.
Sakaguchi, Donald S., et al.. (1988). A glial cell line promotes the outgrowth of neurites from embryonic Xenopus retina.. PubMed. 39(2-3). 201–9. 1 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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