Frederick D. Coffman

1.1k total citations
54 papers, 878 citations indexed

About

Frederick D. Coffman is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Frederick D. Coffman has authored 54 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 20 papers in Oncology and 8 papers in Immunology. Recurrent topics in Frederick D. Coffman's work include DNA Repair Mechanisms (11 papers), Cancer-related Molecular Pathways (8 papers) and Genomics and Chromatin Dynamics (5 papers). Frederick D. Coffman is often cited by papers focused on DNA Repair Mechanisms (11 papers), Cancer-related Molecular Pathways (8 papers) and Genomics and Chromatin Dynamics (5 papers). Frederick D. Coffman collaborates with scholars based in United States, Australia and Thailand. Frederick D. Coffman's co-authors include Michael F. Dunn, George P. Studzinski, Stanley Cohen, Elizabeth Raveché, Marion C. Cohen, Stanley Cohen, Gerald E. Marti, Brian J. Scaglione, Erica Salerno and Fatah Kashanchi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Frederick D. Coffman

54 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederick D. Coffman United States 15 513 273 194 122 62 54 878
Narayan Bhat United States 16 1.5k 2.9× 301 1.1× 203 1.0× 135 1.1× 30 0.5× 30 1.9k
Kenji Ohshima Japan 17 560 1.1× 157 0.6× 221 1.1× 187 1.5× 28 0.5× 38 1.3k
N K Bhat United States 16 762 1.5× 291 1.1× 201 1.0× 229 1.9× 12 0.2× 22 1.1k
Sabine Suire United Kingdom 16 942 1.8× 335 1.2× 160 0.8× 55 0.5× 136 2.2× 21 1.4k
Oekyung Kim United States 13 611 1.2× 114 0.4× 205 1.1× 157 1.3× 30 0.5× 17 1.2k
Masayuki Kanai Japan 17 1.0k 2.0× 215 0.8× 619 3.2× 268 2.2× 30 0.5× 21 1.5k
Rupert Öllinger Germany 20 745 1.5× 285 1.0× 347 1.8× 114 0.9× 28 0.5× 45 1.3k
Marie-Ève Beaulieu Spain 15 782 1.5× 98 0.4× 265 1.4× 156 1.3× 72 1.2× 29 1.1k
Alicia A. Goyeneche Canada 19 429 0.8× 178 0.7× 293 1.5× 205 1.7× 35 0.6× 43 1.2k
Hiren Patel United States 24 1.1k 2.1× 413 1.5× 253 1.3× 175 1.4× 122 2.0× 43 1.7k

Countries citing papers authored by Frederick D. Coffman

Since Specialization
Citations

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

Fields of papers citing papers by Frederick D. Coffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederick D. Coffman

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick D. Coffman. A scholar is included among the top collaborators of Frederick D. 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 Frederick D. Coffman. Frederick D. 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.
Panja, Sukanya, Mihai I. Truica, Christina Y. Yu, et al.. (2024). Mechanism-centric regulatory network identifies NME2 and MYC programs as markers of Enzalutamide resistance in CRPC. Nature Communications. 15(1). 352–352. 9 indexed citations
2.
Tyagi, A. K., et al.. (2024). Alois Alzheimer (1864-1915): The Father of Modern Dementia Research and the Discovery of Alzheimer’s Disease. Cureus. 16(10). e71731–e71731. 2 indexed citations
3.
Ziarek, Joshua J., Andrew B. Kleist, Nir London, et al.. (2017). Structural basis for chemokine recognition by a G protein–coupled receptor and implications for receptor activation. Science Signaling. 10(471). 71 indexed citations
4.
Ramamurthy, Bhagavathi, Frederick D. Coffman, & Stanley Cohen. (2015). A perspective on digital and computational pathology. Journal of Pathology Informatics. 6(1). 29–29. 7 indexed citations
5.
Zhang, Pan, Utz Herbig, Frederick D. Coffman, & Muriel W. Lambert. (2013). Non-erythroid alpha spectrin prevents telomere dysfunction after DNA interstrand cross-link damage. Nucleic Acids Research. 41(10). 5321–5340. 15 indexed citations
6.
Hoover, Daniel J., Viola W. Zhu, Ru Chen, et al.. (2013). Expression of the Chitinase Family Glycoprotein YKL-40 in Undifferentiated, Differentiated and Trans-Differentiated Mesenchymal Stem Cells. PLoS ONE. 8(5). e62491–e62491. 13 indexed citations
7.
Salerno, Erica, Brian J. Scaglione, Frederick D. Coffman, et al.. (2009). Correcting miR-15a/16 genetic defect in New Zealand Black mouse model of CLL enhances drug sensitivity. Molecular Cancer Therapeutics. 8(9). 2684–2692. 58 indexed citations
8.
Coffman, Frederick D.. (2008). Chitinase 3-Like-1 (CHI3L1): A Putative Disease Marker at the Interface of Proteomics and Glycomics. Critical Reviews in Clinical Laboratory Sciences. 45(6). 531–562. 114 indexed citations
9.
Kim, Steve, et al.. (2007). Prognostic implications of immunohistochemically detected YKL-40 expression in breast cancer. World Journal of Surgical Oncology. 5(1). 17–17. 41 indexed citations
10.
Coffman, Frederick D., et al.. (2006). Multiple Initiation Sites within the Human Ribosomal RNA Gene. Cell Cycle. 5(11). 1223–1233. 10 indexed citations
11.
Fuente, Cynthia de la, Lai Wang, Dai Wang, et al.. (2003). Paradoxical effects of a stress signal on pro- and anti-apoptotic machinery in HTLV-1 tax expressing cells. Molecular and Cellular Biochemistry. 245(1-2). 99–113. 24 indexed citations
12.
Chong, Siew Yen, Ming Zhang, Yi-Chu Lin, et al.. (2001). The growth-regulatory role of B-cell-specific activator protein in NZB malignant B-1 cells. Cancer Immunology Immunotherapy. 50(1). 41–50. 3 indexed citations
13.
14.
Baloch, Zubair, et al.. (1995). Modulation of topoisomerase activities by tumor necrosis factor. Cellular Immunology. 160(1). 98–103. 6 indexed citations
15.
Autieri, Michael V., et al.. (1993). A Cytosolic Activator of DNA Replication Is Tyrosine Phosphorylated in Its Active Form. Experimental Cell Research. 205(2). 302–310. 3 indexed citations
16.
Coffman, Frederick D., et al.. (1993). Characteristics of DNA replication in isolated nuclei initiated by an aprotinin‐binding protein. Journal of Cellular Biochemistry. 51(2). 157–164. 3 indexed citations
17.
Coffman, Frederick D., et al.. (1991). Control of DNA replication in a transformed lymphoid cell line: Coexistence of activator and inhibitor activities. Cellular Immunology. 138(2). 381–389. 1 indexed citations
18.
Coffman, Frederick D., et al.. (1991). Initiation of lymphocyte DNA synthesis. Journal of Cellular Biochemistry. 45(1). 15–21. 1 indexed citations
19.
Coffman, Frederick D., et al.. (1989). Cytotoxicity mediated by tumor necrosis factor in variant subclones of the ME‐180 cervical carcinoma line: Modulation by specific inhibitors of DNA topoisomerase II. Journal of Cellular Biochemistry. 39(2). 95–105. 12 indexed citations
20.
Ware, Carl F., et al.. (1987). Molecular mechanisms determining target cell sensitivity or resistance to the cytotoxic activity of the cytotoxic lymphokines. Immunobiology. 175. 42–43. 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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