D. D. Peck

21.6k total citations · 3 hit papers
23 papers, 13.1k citations indexed

About

D. D. Peck is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, D. D. Peck has authored 23 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Atomic and Molecular Physics, and Optics and 7 papers in Spectroscopy. Recurrent topics in D. D. Peck's work include Spectroscopy and Laser Applications (6 papers), Semiconductor Quantum Structures and Devices (5 papers) and Astrophysics and Star Formation Studies (3 papers). D. D. Peck is often cited by papers focused on Spectroscopy and Laser Applications (6 papers), Semiconductor Quantum Structures and Devices (5 papers) and Astrophysics and Star Formation Studies (3 papers). D. D. Peck collaborates with scholars based in United States and Spain. D. D. Peck's co-authors include Todd R. Golub, Justin Lamb, Jun Lü, E. Alejandro Sweet‐Cordero, James R. Downing, Benjamin L. Ebert, Ezequiel Alvarez-Saavedra, Eric A. Miska, Tyler Jacks and Adolfo A. Ferrando and has published in prestigious journals such as Nature, Science and Blood.

In The Last Decade

D. D. Peck

20 papers receiving 12.8k citations

Hit Papers

MicroRNA expression profiles classify hum... 1983 2026 1997 2011 2005 2006 1983 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. D. Peck United States 12 9.9k 6.8k 1.2k 922 852 23 13.1k
Peter Kühn United States 59 9.5k 1.0× 1.8k 0.3× 1000 0.8× 187 0.2× 3.5k 4.1× 247 16.0k
Robert A. Copeland United States 44 7.6k 0.8× 840 0.1× 1.2k 1.0× 252 0.3× 1.8k 2.1× 165 11.9k
Ian C. P. Smith Canada 52 7.9k 0.8× 2.1k 0.3× 91 0.1× 944 1.0× 2.8k 3.2× 186 14.2k
Enrico Di United States 52 4.8k 0.5× 1.1k 0.2× 391 0.3× 265 0.3× 568 0.7× 241 9.8k
Stephen P. A. Fodor United States 37 10.3k 1.0× 792 0.1× 287 0.2× 444 0.5× 384 0.5× 53 13.4k
Joel S. Bader United States 49 5.5k 0.6× 669 0.1× 277 0.2× 1.4k 1.5× 1.3k 1.5× 127 9.7k
William G. Richards United States 65 9.5k 1.0× 1.9k 0.3× 698 0.6× 296 0.3× 3.4k 4.0× 249 20.5k
Kevin M. Brindle United Kingdom 63 6.4k 0.6× 1.8k 0.3× 74 0.1× 1.5k 1.7× 1.1k 1.3× 269 16.5k
Fuchu He China 58 8.0k 0.8× 1.8k 0.3× 366 0.3× 101 0.1× 2.0k 2.4× 381 12.7k

Countries citing papers authored by D. D. Peck

Since Specialization
Citations

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

Fields of papers citing papers by D. D. Peck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. D. Peck

This figure shows the co-authorship network connecting the top 25 collaborators of D. D. Peck. A scholar is included among the top collaborators of D. D. Peck 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 D. D. Peck. D. D. Peck 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.
Natoli, Ted, Michael G. Endres, Rajiv Narayan, et al.. (2021). Improving deconvolution methods in biology through open innovation competitions: an application to the connectivity map. Bioinformatics. 37(18). 2889–2895. 1 indexed citations
2.
Wagner, Bridget K., Toshimori Kitami, Tamara J. Gilbert, et al.. (2008). Large-scale chemical dissection of mitochondrial function. Nature Biotechnology. 26(3). 343–351. 158 indexed citations
3.
Stegmaier, Kimberly, Jenny Wong, Kenneth N. Ross, et al.. (2007). Signature-Based Small Molecule Screening Identifies Cytosine Arabinoside as an EWS/FLI Modulator in Ewing Sarcoma. PLoS Medicine. 4(4). e122–e122. 108 indexed citations
4.
Peck, D. D., Emily Crawford, Kenneth N. Ross, et al.. (2006). A method for high-throughput gene expression signature analysis. Genome biology. 7(7). R61–R61. 149 indexed citations
5.
Lamb, Justin, Emily Crawford, D. D. Peck, et al.. (2006). The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease. Science. 313(5795). 1929–1935. 3714 indexed citations breakdown →
6.
Lü, Jun, Gad Getz, Eric A. Miska, et al.. (2005). MicroRNA expression profiles classify human cancers. Nature. 435(7043). 834–838. 7826 indexed citations breakdown →
8.
Ebert, Benjamin L., Raymond H. Mak, Jennifer Pretz, et al.. (2005). High Throughput Screen To Identify Small Molecules That Differentially Regulate Expression of the Globin Genes.. Blood. 106(11). 3632–3632.
9.
Thompson, F. N., D. D. Peck, L. S. Leshin, et al.. (1989). Difference in Luteinizing Hormone Response to an Opioid Antagonist in Beef Heifers and Cows1. Biology of Reproduction. 41(3). 431–437. 17 indexed citations
10.
Peck, D. D., F. N. Thompson, J. A. Stuedemann, L. S. Leshin, & T. E. Kiser. (1988). Evidence for Endogenous Opioid Modulation of Serum Luteinizing Hormone and Prolactin in the Steer. Journal of Animal Science. 66(12). 3197–3197. 8 indexed citations
11.
Peck, D. D., et al.. (1988). Effect of Morphine on Serum Gonadotropin Concentrations in Postpartum Beef Cows. Journal of Animal Science. 66(11). 2930–2930. 8 indexed citations
12.
Peck, D. D., H. R. Fetterman, D. Bühl, G. Chin, & S. J. Petuchowski. (1984). Molecular astronomy using heterodyne detection at 691 GHz. International Journal of Infrared and Millimeter Waves. 5(3). 329–340. 1 indexed citations
13.
Sollner, T. C. L. G., P. E. Tannenwald, D. D. Peck, & W. D. Goodhue. (1984). Quantum well oscillators. Applied Physics Letters. 45(12). 1319–1321. 191 indexed citations
14.
Sollner, T. C. L. G., W. D. Goodhue, P. E. Tannenwald, et al.. (1983). Resonant Tunneling through quantum wells up to 2.5 THz. 1–2. 2 indexed citations
15.
Sollner, T. C. L. G., W. D. Goodhue, P. E. Tannenwald, C. D. Parker, & D. D. Peck. (1983). Resonant tunneling through quantum wells at frequencies up to 2.5 THz. Applied Physics Letters. 43(6). 588–590. 789 indexed citations breakdown →
16.
Koepf, Gerhard A., H. R. Fetterman, B. J. Clifton, et al.. (1982). CO/J = 6-5/ distribution in Orion and detection in other galactic sources. The Astrophysical Journal. 260. 584–584. 8 indexed citations
17.
Goldsmith, P. F., N. R. Erickson, H. R. Fetterman, et al.. (1981). Detection of the J = 6 - 5 transition of carbon monoxide. The Astrophysical Journal. 243. L79–L79. 17 indexed citations
18.
Bühl, D., Gerhard A. Koepf, G. Chin, et al.. (1981). <title>433 Micron Laser Heterodyne Observations Of Galactic CO From Mauna Kea</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 280. 108–110.
19.
Fetterman, H. R., Gerhard A. Koepf, P. F. Goldsmith, et al.. (1981). Submillimeter Heterodyne Detection of Interstellar Carbon Monoxide at 434 Micrometers. Science. 211(4482). 580–582. 15 indexed citations
20.
Blumberg, W. A. M., H. R. Fetterman, D. D. Peck, & P. F. Goldsmith. (1979). Tunable submillimeter sources applied to the excited state rotational spectroscopy and kinetics of CH3F. Applied Physics Letters. 35(8). 582–585. 19 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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