Jeff Crosby

1.9k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Jeff Crosby is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Jeff Crosby has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 10 papers in Hematology and 9 papers in Molecular Biology. Recurrent topics in Jeff Crosby's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Neonatal Respiratory Health Research (5 papers) and Mast cells and histamine (5 papers). Jeff Crosby is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Neonatal Respiratory Health Research (5 papers) and Mast cells and histamine (5 papers). Jeff Crosby collaborates with scholars based in United States, Netherlands and Germany. Jeff Crosby's co-authors include Brett P. Monia, Daniel F. Bowen‐Pope, Mark J. Graham, Chenguang Zhao, Alexey S. Revenko, Philippe Soriano, Ronald A. Seifert, Chenguang Zhao, Shuling Guo and Jonathan B. Volmer and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and The Journal of Experimental Medicine.

In The Last Decade

Jeff Crosby

27 papers receiving 1.4k citations

Hit Papers

Targeted delivery of antisense oligonucleotides to hepato... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Crosby United States 14 688 306 230 199 173 30 1.4k
Robert Stad Netherlands 19 821 1.2× 172 0.6× 134 0.6× 316 1.6× 84 0.5× 36 1.9k
Kodandaram Pillarisetti United States 19 748 1.1× 149 0.5× 670 2.9× 641 3.2× 81 0.5× 37 2.0k
Takayuki Yamada Japan 23 809 1.2× 227 0.7× 103 0.4× 146 0.7× 244 1.4× 74 1.8k
Christophe Lebœuf France 24 604 0.9× 257 0.8× 264 1.1× 295 1.5× 188 1.1× 74 1.6k
Kacper Jankowski United States 12 714 1.0× 133 0.4× 99 0.4× 346 1.7× 145 0.8× 15 1.4k
Eugene Y. Koh United States 18 847 1.2× 191 0.6× 232 1.0× 167 0.8× 75 0.4× 68 1.8k
Marina R. Carpinelli Australia 15 855 1.2× 265 0.9× 484 2.1× 258 1.3× 104 0.6× 30 1.5k
Jennifer J. Westendorf United States 23 2.5k 3.7× 196 0.6× 248 1.1× 128 0.6× 141 0.8× 31 3.2k
Floris P. J. van Alphen Netherlands 18 481 0.7× 181 0.6× 227 1.0× 423 2.1× 86 0.5× 47 1.3k
U. Gerlach Germany 18 439 0.6× 60 0.2× 221 1.0× 374 1.9× 66 0.4× 30 1.1k

Countries citing papers authored by Jeff Crosby

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Crosby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Crosby

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Crosby. A scholar is included among the top collaborators of Jeff Crosby 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 Jeff Crosby. Jeff Crosby 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
2.
Fredenburgh, James C., et al.. (2024). Histidine-Rich Glycoprotein Modulates the Toxic Effects of High-Dose Polyphosphate in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 44(7). 1658–1670.
3.
Adams, Roberta H., Holly Miller, Dana Salzberg, et al.. (2024). A Retrospective Analysis of Fresh versus Cryopreserved Allogenic Bone Marrow Transplant within a Pediatric Population: A Change in Practice Due to the COVID-19 Pandemic. Transplantation and Cellular Therapy. 31(2). 97.e1–97.e11.
4.
Sutharsan, Sivagurunathan, Rainald Fischer, Wolfgang Gleiber, et al.. (2024). Randomised, phase 1/2a trial of ION-827359, an antisense oligonucleotide inhibitor of ENaC. ERJ Open Research. 10(4). 986–2023. 1 indexed citations
6.
Zhou, Ji, et al.. (2021). Polyphosphate-induced thrombosis in mice is factor XII dependent and is attenuated by histidine-rich glycoprotein. Blood Advances. 5(18). 3540–3551. 19 indexed citations
7.
Carrer, Michele, Jeff Crosby, Guizhen Sun, et al.. (2020). Antisense Oligonucleotides Targeting Jagged 1 Reduce House Dust Mite–induced Goblet Cell Metaplasia in the Adult Murine Lung. American Journal of Respiratory Cell and Molecular Biology. 63(1). 46–56. 25 indexed citations
8.
Muradashvili, Nino, et al.. (2020). Effects of fibrinogen synthesis inhibition on vascular cognitive impairment during traumatic brain injury in mice. Brain Research. 1751. 147208–147208. 13 indexed citations
9.
Bui, Huynh‐Hoa, et al.. (2019). Steric Inhibition of 5′ UTR Regulatory Elements Results in Upregulation of Human CFTR. Molecular Therapy. 27(10). 1749–1757. 34 indexed citations
10.
Ding, Chao, Brendon P. Scicluna, Ingrid Stroo, et al.. (2019). Prekallikrein inhibits innate immune signaling in the lung and impairs host defense during pneumosepsis in mice. The Journal of Pathology. 250(1). 95–106. 8 indexed citations
11.
Weng, Shih‐Yen, Xiaoyu Wang, Santosh Vijayan, et al.. (2018). IL-4 Receptor Alpha Signaling through Macrophages Differentially Regulates Liver Fibrosis Progression and Reversal. EBioMedicine. 29. 92–103. 97 indexed citations
12.
Zhao, Chenguang, et al.. (2018). Antisense oligonucleotide targeting of mRNAs encoding ENaC subunits α, β, and γ improves cystic fibrosis-like disease in mice. Journal of Cystic Fibrosis. 18(3). 334–341. 19 indexed citations
13.
Crosby, Jeff, Chenguang Zhao, Chong Jiang, et al.. (2017). Inhaled ENaC antisense oligonucleotide ameliorates cystic fibrosis-like lung disease in mice. Journal of Cystic Fibrosis. 16(6). 671–680. 68 indexed citations
14.
Lee, Richard, Jeff Crosby, Brenda F. Baker, Mark J. Graham, & Rosanne M. Crooke. (2013). Antisense Technology: An Emerging Platform for Cardiovascular Disease Therapeutics. Journal of Cardiovascular Translational Research. 6(6). 969–980. 51 indexed citations
16.
Revenko, Alexey S., Dacao Gao, Jeff Crosby, et al.. (2011). Selective depletion of plasma prekallikrein or coagulation factor XII inhibits thrombosis in mice without increased risk of bleeding. Blood. 118(19). 5302–5311. 179 indexed citations
17.
Crosby, Jeff, Dacao Gao, Chenguang Zhao, et al.. (2009). Systematic Evaluation of Coagulation Factors as Targets for Anti-Thrombotic Therapy Using Antisense Technology.. Blood. 114(22). 4181–4181. 4 indexed citations
18.
Crosby, Jeff. (2005). Democracy, Density, And Transformation: We Need Them All. WorkingUSA. 8(6). 733–753. 3 indexed citations
20.
Crosby, Jeff, Ronald A. Seifert, Philippe Soriano, & Daniel F. Bowen‐Pope. (1998). Chimaeric analysis reveals role of Pdgf receptors in all muscle lineages. Nature Genetics. 18(4). 385–388. 98 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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