David Petersen

2.0k total citations
46 papers, 729 citations indexed

About

David Petersen is a scholar working on Molecular Biology, Oncology and General Health Professions. According to data from OpenAlex, David Petersen has authored 46 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Oncology and 7 papers in General Health Professions. Recurrent topics in David Petersen's work include Molecular Biology Techniques and Applications (5 papers), Health Sciences Research and Education (5 papers) and Gene expression and cancer classification (4 papers). David Petersen is often cited by papers focused on Molecular Biology Techniques and Applications (5 papers), Health Sciences Research and Education (5 papers) and Gene expression and cancer classification (4 papers). David Petersen collaborates with scholars based in United States, Germany and Singapore. David Petersen's co-authors include Ernest S. Kawasaki, Edison T. Liu, Lance D. Miller, Kevin K. Dobbin, Richard Simon, Simone Mocellin, Yingdong Zhao, Meenhard Herlyn, Ainhoa Pérez‐Díez and John Powell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

David Petersen

41 papers receiving 713 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Petersen United States 14 417 238 170 116 68 46 729
Yong-Sam Kim South Korea 8 541 1.3× 248 1.0× 201 1.2× 86 0.7× 82 1.2× 9 809
Arvind Rao United States 12 375 0.9× 159 0.7× 298 1.8× 157 1.4× 52 0.8× 27 815
Morgan E. Diolaiti United States 9 618 1.5× 300 1.3× 256 1.5× 63 0.5× 90 1.3× 20 977
Shelly L. Lorey United States 17 573 1.4× 164 0.7× 247 1.5× 66 0.6× 47 0.7× 24 866
Bushra Samad United States 10 316 0.8× 217 0.9× 419 2.5× 88 0.8× 59 0.9× 14 766
Shane Lofgren United States 9 377 0.9× 162 0.7× 233 1.4× 60 0.5× 39 0.6× 13 693
Maria Bellenghi Italy 16 457 1.1× 169 0.7× 116 0.7× 304 2.6× 53 0.8× 24 760
Andrea Clocchiatti United States 15 511 1.2× 233 1.0× 121 0.7× 106 0.9× 89 1.3× 17 823
Maria T. Baquero United States 6 538 1.3× 146 0.6× 63 0.4× 95 0.8× 72 1.1× 7 751
Susanna F. Greer United States 21 727 1.7× 243 1.0× 420 2.5× 133 1.1× 79 1.2× 37 1.1k

Countries citing papers authored by David Petersen

Since Specialization
Citations

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

Fields of papers citing papers by David Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of David Petersen. A scholar is included among the top collaborators of David Petersen 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 David Petersen. David Petersen 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.
Petersen, David, et al.. (2024). Prevalence and impact of remote and hybrid work in academic health sciences libraries. Journal of the Medical Library Association JMLA. 112(4). 298–306. 1 indexed citations
2.
Starrett, Gabriel J., Kelly J. Yu, Petra H. Lenz, et al.. (2023). Evidence for virus-mediated oncogenesis in bladder cancers arising in solid organ transplant recipients. eLife. 12. 15 indexed citations
3.
Petersen, David. (2023). Remote and Hybrid Work Options for Health Science Librarians: A Survey of Job Postings Before and After the COVID-19 Pandemic. Medical Reference Services Quarterly. 42(2). 153–162. 5 indexed citations
4.
Petersen, David, et al.. (2022). Determining COVID-19’s impact on an academic medical library’s literature search service. Journal of the Medical Library Association JMLA. 110(3). 316–322. 1 indexed citations
5.
Petersen, David. (2022). medRxiv: Navigating the New Frontier of Medical Research and Publishing. Journal of Electronic Resources in Medical Libraries. 19(1-2). 22–26.
6.
Quan, Xin, Nga Voong Hawk, Weiping Chen, et al.. (2018). Targeting Notch1 and IKKα Enhanced NF-κB Activation in CD133+ Skin Cancer Stem Cells. Molecular Cancer Therapeutics. 17(9). 2034–2048. 24 indexed citations
7.
Arons, Evgeny, Hong Zhou, Daniel C. Edelman, et al.. (2015). Impact of telomere length on survival in classic and variant hairy cell leukemia. Leukemia Research. 39(12). 1360–1366. 8 indexed citations
8.
Siervi, Adriana De, Paola De Luca, Cristian P. Moiola, et al.. (2009). Identification of new Rel/NFκB regulatory networks by focused genome location analysis. Cell Cycle. 8(13). 2093–2100. 31 indexed citations
9.
Kralj, Jason G., Audrey Player, Matthew Munson, et al.. (2008). T7-based linear amplification of low concentration mRNA samples using beads and microfluidics for global gene expression measurements. Lab on a Chip. 9(7). 917–924. 14 indexed citations
10.
Petersen, David & Ernest S. Kawasaki. (2007). Manufacturing of Microarrays. Advances in experimental medicine and biology. 593. 1–11. 7 indexed citations
11.
Yang, Amy, Josef Mejido, Bhaskar Bhattacharya, et al.. (2006). Analysis of the Quality of Contact Pin Fabricated Oligonucleotide Microarrays. Molecular Biotechnology. 34(3). 303–316. 8 indexed citations
12.
Huang, Shixia, Yi Li, Yidong Chen, et al.. (2005). Changes in gene expression during the development of mammary tumors in MMTV-Wnt-1transgenic mice. Genome biology. 6(10). R84–R84. 37 indexed citations
13.
Petersen, David, Joel Geoghegan, Chang Hee Kim, et al.. (2005). Three microarray platforms: an analysis of their concordance in profiling gene expression. BMC Genomics. 6(1). 63–63. 79 indexed citations
14.
Dobbin, Kevin K., Ernest S. Kawasaki, David Petersen, & Richard Simon. (2005). Characterizing dye bias in microarray experiments. Computer applications in the biosciences. 21(10). 2430–2437. 51 indexed citations
15.
Mir, Alain, Maxim V. Myakishev, Oksana Polesskaya, et al.. (2003). A search for candidate genes for lipodystrophy, obesity and diabetes via gene expression analysis of A-ZIP/F-1 mice. Genomics. 81(4). 378–390. 9 indexed citations
16.
Petersen, David. (2002). Custodial Training Makes Sense and Saves Dollars.. 41(7). 50–53. 1 indexed citations
17.
Petersen, David. (2002). Cedar Mesa: A Place Where Spirits Dwell. 1 indexed citations
18.
Sotiriou, Christos, Chand Khanna, David Petersen, Amir A. Jazaeri, & Edison T. Liu. (2001). Core biopsy versus surgical tumor specimens for microarray analysis of gene expression profiles. Nature Genetics. 27(S4). 88–89. 2 indexed citations
19.
Petersen, David. (1992). Audio, Video, and Data Telecommunications.
20.
Petersen, David. (1978). Drugs and the Elderly: Social and Pharmacological Issues. 23 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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