David L. Petersen

611 total citations
11 papers, 363 citations indexed

About

David L. Petersen is a scholar working on Dermatology, Oncology and Immunology. According to data from OpenAlex, David L. Petersen has authored 11 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Dermatology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in David L. Petersen's work include Cutaneous lymphoproliferative disorders research (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and T-cell and Retrovirus Studies (2 papers). David L. Petersen is often cited by papers focused on Cutaneous lymphoproliferative disorders research (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and T-cell and Retrovirus Studies (2 papers). David L. Petersen collaborates with scholars based in Denmark, United States and Canada. David L. Petersen's co-authors include Heinz‐Günter Thiele, Sriram Balasubramanian, Fernando Bazán, Robert Kastelein, Friedrich Koch‐Nolte, Friedrich Haag, Andreas Willerslev-Olsen, Anders Woetmann, Charlotte M. Bonefeld and Simon Fredholm and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Scientific Reports.

In The Last Decade

David L. Petersen

8 papers receiving 348 citations

Peers

David L. Petersen

IMMUN

DERMA

ONCOL

MB

PHYSI

Elke Valk United Kingdom

Amiya K. Patra Germany

Chrystelle Guiter France

Hui Cheng China

Geraldine Rühl Germany

Yemsratch T. Akalu United States

Prathyusha Gudapati United States

Mayuki Watanabe Japan

Sarah Renaudineau France

Alessandra Venanzi Italy

Elke Valk United Kingdom

David L. Petersen

378 ×2.5

IMMUN

43 ×0.3

DERMA

177 ×1.6

ONCOL

79 ×0.9

MB

10 ×0.1

PHYSI

Citations per year, relative to David L. Petersen David L. Petersen (= 1×) peers Elke Valk

Countries citing papers authored by David L. Petersen

Since Specialization

Citations

This map shows the geographic impact of David L. 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 L. 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 L. Petersen more than expected).

Fields of papers citing papers by David L. Petersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Petersen. A scholar is included among the top collaborators of David L. 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 L. Petersen. David L. Petersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Petersen, David L., et al.. (2025). Droplet-based Cytotoxicity Assay to Assess Chimeric Antigen Receptor T cells at the Single-cell Level. Journal of Visualized Experiments.

2.

Petersen, David L., Marie Just Mikkelsen, Özcan Met, et al.. (2024). Analyzing functional heterogeneity of effector cells for enhanced adoptive cell therapy applications. Immuno-Oncology Technology. 24. 100738–100738.

3.

Rasmussen, Kim Krighaar, Malene Winther, David L. Petersen, et al.. (2018). NCAM2 Fibronectin type-III domains form a rigid structure that binds and activates the Fibroblast Growth Factor Receptor. Scientific Reports. 8(1). 8957–8957. 17 indexed citations

4.

Petersen, David L., Jens Berthelsen, Andreas Willerslev-Olsen, et al.. (2017). A novel BLK-induced tumor model. Tumor Biology. 39(7). 3726133019–3726133019. 20 indexed citations

5.

Willerslev-Olsen, Andreas, Thorbjørn Krejsgaard, Lise M. Lindahl, et al.. (2016). Staphylococcal enterotoxin A (SEA) stimulates STAT3 activation and IL-17 expression in cutaneous T-cell lymphoma. Blood. 127(10). 1287–1296. 77 indexed citations

6.

Kopp, Katharina, Ivan V. Litvinov, Lars Jønson, et al.. (2015). Jak3, STAT3, and STAT5 inhibit expression of miR-22, a novel tumor suppressor microRNA, in cutaneous T-Cell lymphoma. Oncotarget. 6(24). 20555–20569. 70 indexed citations

7.

Willerslev-Olsen, Andreas, Ivan V. Litvinov, Simon Fredholm, et al.. (2014). IL-15 and IL-17F are differentially regulated and expressed in mycosis fungoides (MF). Cell Cycle. 13(8). 1306–1312. 24 indexed citations

8.

Fredholm, Simon, Lise Mette Rahbek Gjerdrum, Andreas Willerslev-Olsen, et al.. (2014). STAT3 activation and infiltration of eosinophil granulocytes in mycosis fungoides.. PubMed. 34(10). 5277–86. 21 indexed citations

9.

Beckman, Gary, et al.. (2001). The SBL Handbook of Style for Ancient near Eastern, Biblical, and Early Christian Studies. Journal of the American Oriental Society. 121(3). 529–529. 2 indexed citations

10.

Koch‐Nolte, Friedrich, David L. Petersen, Sriram Balasubramanian, et al.. (1996). Mouse T Cell Membrane Proteins Rt6−1 and Rt6−2 Are Arginine/Protein Mono(ADPribosyl)transferases and Share Secondary Structure Motifs with ADP-ribosylating Bacterial Toxins. Journal of Biological Chemistry. 271(13). 7686–7693. 122 indexed citations

11.

Petersen, David L., Carol Meyers, & Eric M. Meyers. (1988). Haggai, Zechariah 1-8. Journal of Biblical Literature. 107(3). 523–523. 10 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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