Jeffrey W. Pelker

629 total citations
8 papers, 513 citations indexed

About

Jeffrey W. Pelker is a scholar working on Immunology, Cancer Research and Oncology. According to data from OpenAlex, Jeffrey W. Pelker has authored 8 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Jeffrey W. Pelker's work include Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (3 papers) and Asthma and respiratory diseases (2 papers). Jeffrey W. Pelker is often cited by papers focused on Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (3 papers) and Asthma and respiratory diseases (2 papers). Jeffrey W. Pelker collaborates with scholars based in United States, Canada and Japan. Jeffrey W. Pelker's co-authors include Suzana Marušić, Junqing Cui, Joy Miyashiro, Paresh Thakker, Michael W. Leach, Mihai L. Azoitei, Brenda Carito, John P. Leonard, Marina W. H. Shen and James D. Clark and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Jeffrey W. Pelker

8 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey W. Pelker United States 7 251 122 107 85 65 8 513
Tatjana Samardžić Czechia 15 329 1.3× 148 1.2× 87 0.8× 67 0.8× 106 1.6× 24 624
Heather Tibbles United States 14 83 0.3× 119 1.0× 90 0.8× 118 1.4× 34 0.5× 28 424
Klaus Hexel Germany 4 410 1.6× 257 2.1× 53 0.5× 58 0.7× 21 0.3× 5 741
Xuan Luo China 15 171 0.7× 324 2.7× 87 0.8× 62 0.7× 65 1.0× 24 608
Pamela A. Hankey United States 12 213 0.8× 125 1.0× 71 0.7× 27 0.3× 24 0.4× 16 421
Carole Ferraro‐Peyret France 13 118 0.5× 300 2.5× 113 1.1× 45 0.5× 46 0.7× 28 673
Karim Bennaceur United Kingdom 10 186 0.7× 120 1.0× 98 0.9× 80 0.9× 28 0.4× 14 398
Sandrine Niyongere United States 10 279 1.1× 196 1.6× 195 1.8× 46 0.5× 49 0.8× 35 636
Subba R. Chintalacharuvu United States 12 233 0.9× 143 1.2× 90 0.8× 16 0.2× 103 1.6× 17 535
Giuseppe Dell’Elba Italy 11 160 0.6× 102 0.8× 29 0.3× 65 0.8× 20 0.3× 18 483

Countries citing papers authored by Jeffrey W. Pelker

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey W. Pelker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey W. Pelker. 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 Jeffrey W. Pelker. The network helps show where Jeffrey W. Pelker may publish in the future.

Co-authorship network of co-authors of Jeffrey W. Pelker

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

All Works

8 of 8 papers shown
1.
Su, Zhenwei, Jonathan Brooks, Jeffrey W. Pelker, et al.. (2023). Studies with neutralizing antibodies suggest CXCL8-mediated neutrophil activation is independent of C-C motif chemokine receptor-like 2 (CCRL2) ligand binding function. PLoS ONE. 18(1). e0280590–e0280590. 3 indexed citations
2.
Wu, Junjun, Neal Green, Rajeev Hotchandani, et al.. (2009). Selective inhibitors of tumor progression loci-2 (Tpl2) kinase with potent inhibition of TNF-α production in human whole blood. Bioorganic & Medicinal Chemistry Letters. 19(13). 3485–3488. 36 indexed citations
3.
Marušić, Suzana, Paresh Thakker, Jeffrey W. Pelker, et al.. (2008). Blockade of cytosolic phospholipase A2α prevents experimental autoimmune encephalomyelitis and diminishes development of Th1 and Th17 responses. Journal of Neuroimmunology. 204(1-2). 29–37. 51 indexed citations
4.
Carter, Laura, Michael W. Leach, Mihai L. Azoitei, et al.. (2006). PD-1/PD-L1, but not PD-1/PD-L2, interactions regulate the severity of experimental autoimmune encephalomyelitis. Journal of Neuroimmunology. 182(1-2). 124–134. 156 indexed citations
5.
Marušić, Suzana, Michael W. Leach, Jeffrey W. Pelker, et al.. (2005). Cytosolic phospholipase A2α–deficient mice are resistant to experimental autoimmune encephalomyelitis. The Journal of Experimental Medicine. 202(6). 841–851. 123 indexed citations
6.
Cui, Junqing, Joy Miyashiro, Paresh Thakker, et al.. (2005). TH1-mediated airway hyperresponsiveness independent of neutrophilic inflammation. Journal of Allergy and Clinical Immunology. 115(2). 309–315. 56 indexed citations
7.
Lavigne, Mark C., Paresh Thakker, Jason R. Gunn, et al.. (2004). Human bronchial epithelial cells express and secrete MMP-12. Biochemical and Biophysical Research Communications. 324(2). 534–546. 53 indexed citations
8.

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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2026