Jeff Skinner

5.2k total citations · 1 hit paper
47 papers, 2.3k citations indexed

About

Jeff Skinner is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Jeff Skinner has authored 47 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 16 papers in Public Health, Environmental and Occupational Health and 12 papers in Molecular Biology. Recurrent topics in Jeff Skinner's work include Immune Cell Function and Interaction (13 papers), Malaria Research and Control (13 papers) and HIV Research and Treatment (9 papers). Jeff Skinner is often cited by papers focused on Immune Cell Function and Interaction (13 papers), Malaria Research and Control (13 papers) and HIV Research and Treatment (9 papers). Jeff Skinner collaborates with scholars based in United States, Mali and United Kingdom. Jeff Skinner's co-authors include Peter D. Crompton, Shanping Li, Ogobara K. Doumbo, Peter D. Kwong, Sílvia Portugal, Kassoum Kayentao, Aïssata Ongoïba, Gilad Ofek, Richard T. Wyatt and F. Javier Guenaga and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Immunology.

In The Last Decade

Jeff Skinner

47 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Elicitation of structure-specific antibodies by epitope scaffolds

2010 225 citations Jeff Skinner et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Skinner United States	25	1.1k	662	560	401	358	47	2.3k
Britta C. Urban United Kingdom	31	2.0k 1.9×	1.6k 2.5×	636 1.1×	276 0.7×	451 1.3×	79	3.6k
Peter J. Lachmann United Kingdom	30	1.7k 1.6×	375 0.6×	669 1.2×	166 0.4×	311 0.9×	86	3.1k
Alberto Moreno United States	34	851 0.8×	1.6k 2.5×	954 1.7×	325 0.8×	1.1k 3.1×	133	3.6k
Sheetij Dutta United States	30	887 0.8×	1.7k 2.5×	669 1.2×	299 0.7×	309 0.9×	107	2.7k
Zoltán Beck United States	27	589 0.6×	264 0.4×	762 1.4×	446 1.1×	254 0.7×	74	1.8k
Robert Lodge Canada	27	610 0.6×	561 0.8×	1.0k 1.8×	654 1.6×	718 2.0×	55	2.7k
Sílvia Portugal United States	20	1.2k 1.1×	1.3k 2.0×	654 1.2×	139 0.3×	264 0.7×	31	2.7k
Michelle Wykes Australia	25	2.3k 2.2×	762 1.2×	716 1.3×	158 0.4×	317 0.9×	48	3.3k
Jürgen F. J. Kun Germany	37	1.3k 1.2×	1.7k 2.5×	724 1.3×	151 0.4×	702 2.0×	105	3.5k
Fredrik Vannberg United States	23	547 0.5×	186 0.3×	875 1.6×	474 1.2×	350 1.0×	43	2.2k

Countries citing papers authored by Jeff Skinner

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Skinner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Skinner

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

All Works

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20 of 20 papers shown

Hopp, Christine S., Jeff Skinner, Sarah L. Anzick, et al.. (2022). Atypical B cells up-regulate costimulatory molecules during malaria and secrete antibodies with T follicular helper cell support. Science Immunology. 7(71). eabn1250–eabn1250. 28 indexed citations

Guha, Rajan, Safiatou Doumbo, Didier Doumtabé, et al.. (2021). Plasmodium falciparum malaria drives epigenetic reprogramming of human monocytes toward a regulatory phenotype. PLoS Pathogens. 17(4). e1009430–e1009430. 38 indexed citations

Skinner, Jeff, et al.. (2020). A Clinical Nurse Specialist–Led Emergency Department Naloxone Distribution Program. Clinical Nurse Specialist. 34(3). 116–123. 16 indexed citations

Abdi, Kaveh, Karen Laky, Kartika Padhan, et al.. (2018). Cutting Edge: Quantitative Determination of CD40L Threshold for IL-12 and IL-23 Production from Dendritic Cells. The Journal of Immunology. 201(10). 2879–2884. 10 indexed citations

Akkaya, Munir, Javier Traba, Alexander S. Roesler, et al.. (2018). Second signals rescue B cells from activation-induced mitochondrial dysfunction and death. Nature Immunology. 19(8). 871–884. 171 indexed citations

Obeng-Adjei, Nyamekye, Sílvia Portugal, Prasida Holla, et al.. (2017). Malaria-induced interferon-γ drives the expansion of Tbethi atypical memory B cells. PLoS Pathogens. 13(9). e1006576–e1006576. 108 indexed citations

Helb, Danica, Kevin K. A. Tetteh, Philip L. Felgner, et al.. (2015). Novel serologic biomarkers provide accurate estimates of recent Plasmodium falciparum exposure for individuals and communities. Proceedings of the National Academy of Sciences. 112(32). E4438–47. 127 indexed citations

Obeng-Adjei, Nyamekye, Sílvia Portugal, Tuan M. Tran, et al.. (2015). Circulating Th1-Cell-type Tfh Cells that Exhibit Impaired B Cell Help Are Preferentially Activated during Acute Malaria in Children. Cell Reports. 13(2). 425–439. 160 indexed citations

Subramaniam, Krishanthi, Jeff Skinner, Eugene Mutimura, et al.. (2015). HIV Malaria Co-Infection Is Associated with Atypical Memory B Cell Expansion and a Reduced Antibody Response to a Broad Array of Plasmodium falciparum Antigens in Rwandan Adults. PLoS ONE. 10(4). e0124412–e0124412. 17 indexed citations

10.

Maximova, Olga A., Jeff Skinner, Brian R. Murphy, et al.. (2014). Assurance of neuroattenuation of a live vaccine against West Nile virus: A comprehensive study of neuropathogenesis after infection with chimeric WN/DEN4Δ30 vaccine in comparison to two parental viruses and a surrogate flavivirus reference vaccine. Vaccine. 32(26). 3187–3197. 10 indexed citations

11.

Aponte, John J., Jeff Skinner, Rie Nakajima, et al.. (2014). RTS,S Vaccination Is Associated With Serologic Evidence of Decreased Exposure to Plasmodium falciparum Liver- and Blood-Stage Parasites*. Molecular & Cellular Proteomics. 14(3). 519–531. 22 indexed citations

12.

Bailey, Jason A., Jozelyn Pablo, Amadou Niangaly, et al.. (2014). Seroreactivity to a Large Panel of Field-Derived Plasmodium falciparum Apical Membrane Antigen 1 and Merozoite Surface Protein 1 Variants Reflects Seasonal and Lifetime Acquired Responses to Malaria. American Journal of Tropical Medicine and Hygiene. 92(1). 9–12. 14 indexed citations

13.

Zonios, Dimitrios, Hiroshi Yamazaki, Norie Murayama, et al.. (2014). Voriconazole Metabolism, Toxicity, and the Effect of Cytochrome P450 2C19 Genotype. The Journal of Infectious Diseases. 209(12). 1941–1948. 80 indexed citations

14.

Shulzhenko, Natalia, Anatoly Yambartsev, Mark Rochman, et al.. (2013). Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer. Nature Communications. 4(1). 1806–1806. 61 indexed citations

15.

Song, Haifeng, Nicole Josleyn, Krisztina Janosko, et al.. (2013). Monkeypox virus infection of rhesus macaques induces massive expansion of NK cells, but suppresses NK cell function (P4369). The Journal of Immunology. 190(Supplement_1). 183.20–183.20. 2 indexed citations

16.

Li, Qingdi, Jeff Skinner, & John E. Bennett. (2012). Evaluation of reference genes for real-time quantitative PCR studies in Candida glabrata following azole treatment. BMC Molecular Biology. 13(1). 22–22. 75 indexed citations

17.

Komarow, Hirsh D., Jeff Skinner, Michael Young, et al.. (2011). A study of the use of impulse oscillometry in the evaluation of children with asthma: Analysis of lung parameters, order effect, and utility compared with spirometry. Pediatric Pulmonology. 47(1). 18–26. 90 indexed citations

18.

Musselwhite, Laura W., Virginia Sheikh, Thomas Norton, et al.. (2011). Markers of endothelial dysfunction, coagulation and tissue fibrosis independently predict venous thromboembolism in HIV. AIDS. 25(6). 787–795. 66 indexed citations

19.

Oramasionwu, Christine U., Jeff Skinner, Laurajo Ryan, & Christopher R. Frei. (2009). Disparities in Antiretroviral Prescribing for Blacks and Whites in the United States. Journal of the National Medical Association. 101(11). 1140–1148. 6 indexed citations

20.

Oramasionwu, Christine U., Jeff Skinner, Laurajo Ryan, et al.. (2009). Black race as a predictor of poor health outcomes among a national cohort of HIV/AIDS patients admitted to US hospitals: a cohort study. BMC Infectious Diseases. 9(1). 127–127. 20 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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