Jordan R. Willis

2.1k total citations
17 papers, 658 citations indexed

About

Jordan R. Willis is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Jordan R. Willis has authored 17 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Jordan R. Willis's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Cell Function and Interaction (7 papers) and Glycosylation and Glycoproteins Research (5 papers). Jordan R. Willis is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Cell Function and Interaction (7 papers) and Glycosylation and Glycoproteins Research (5 papers). Jordan R. Willis collaborates with scholars based in United States, Belgium and United Kingdom. Jordan R. Willis's co-authors include James E. Crowe, Bryan Briney, Jens Meiler, Samuel DeLuca, Brett A. McKinney, Steven A. Combs, D.P. Nannemann, Jonathan H. Sheehan, Elizabeth D. Nguyen and Gordon Lemmon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Jordan R. Willis

16 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordan R. Willis United States 13 339 310 289 134 68 17 658
Mihai L. Azoitei United States 8 309 0.9× 217 0.7× 112 0.4× 72 0.5× 55 0.8× 9 637
Larissa Doughty Australia 16 410 1.2× 140 0.5× 332 1.1× 56 0.4× 74 1.1× 19 820
Alec A. Desai United States 11 342 1.0× 85 0.3× 327 1.1× 74 0.6× 47 0.7× 24 567
Qingshan Fu China 16 569 1.7× 174 0.6× 70 0.2× 151 1.1× 86 1.3× 32 868
Snežana Vasiljević United Kingdom 14 694 2.0× 278 0.9× 356 1.2× 364 2.7× 92 1.4× 22 1.0k
Rahel Frick United States 11 251 0.7× 144 0.5× 261 0.9× 23 0.2× 63 0.9× 16 462
Sonu Kumar United States 16 341 1.0× 131 0.4× 76 0.3× 143 1.1× 78 1.1× 31 589
Erik Vogan United States 10 409 1.2× 228 0.7× 126 0.4× 408 3.0× 71 1.0× 11 835
A. V. Kolesnikov Russia 12 297 0.9× 195 0.6× 303 1.0× 31 0.2× 25 0.4× 51 587
Alexander M. Sevy United States 10 326 1.0× 134 0.4× 189 0.7× 20 0.1× 79 1.2× 15 527

Countries citing papers authored by Jordan R. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Jordan R. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordan R. Willis. 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 Jordan R. Willis. The network helps show where Jordan R. Willis may publish in the future.

Co-authorship network of co-authors of Jordan R. Willis

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

All Works

17 of 17 papers shown
1.
Abdelmasseh, Michael, et al.. (2024). COVID-19 vaccination hesitance and adverse effects among US adults: a longitudinal cohort study. SHILAP Revista de lepidopterología. 4. 1365090–1365090.
2.
Soto, Cinque, Jessica A. Finn, Jordan R. Willis, et al.. (2020). PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST. BMC Bioinformatics. 21(1). 314–314. 13 indexed citations
3.
Hicar, Mark D., Xuemin Chen, Chidananda Sulli, et al.. (2016). Human Antibodies that Recognize Novel Immunodominant Quaternary Epitopes on the HIV-1 Env Protein. PLoS ONE. 11(7). e0158861–e0158861. 8 indexed citations
4.
Finn, Jessica A., et al.. (2016). Improving Loop Modeling of the Antibody Complementarity-Determining Region 3 Using Knowledge-Based Restraints. PLoS ONE. 11(5). e0154811–e0154811. 17 indexed citations
5.
Willis, Jordan R., Jessica A. Finn, Bryan Briney, et al.. (2016). Long antibody HCDR3s from HIV-naïve donors presented on a PG9 neutralizing antibody background mediate HIV neutralization. Proceedings of the National Academy of Sciences. 113(16). 4446–4451. 20 indexed citations
6.
Boehme, Karl W., Mine R. Ikizler, Jason A. Iskarpatyoti, et al.. (2016). Engineering Recombinant Reoviruses To Display gp41 Membrane-Proximal External-Region Epitopes from HIV-1. mSphere. 1(3). 5 indexed citations
7.
Willis, Jordan R., Gopal Sapparapu, Sasha Murrell, et al.. (2015). Redesigned HIV antibodies exhibit enhanced neutralizing potency and breadth. Journal of Clinical Investigation. 125(6). 2523–2531. 20 indexed citations
8.
Sarkar, Ujjal, Roman Hillebrand, Kevin M. Johnson, et al.. (2015). Application of Suzuki–Miyaura and Buchwald–Hartwig Cross‐coupling Reactions to the Preparation of Substituted 1,2,4‐Benzotriazine 1‐Oxides Related to the Antitumor Agent Tirapazamine. Journal of Heterocyclic Chemistry. 54(1). 155–160. 6 indexed citations
9.
Briney, Bryan, Jordan R. Willis, Jessica A. Finn, Brett A. McKinney, & James E. Crowe. (2014). Tissue-Specific Expressed Antibody Variable Gene Repertoires. PLoS ONE. 9(6). e100839–e100839. 28 indexed citations
10.
Dombrecht, Bruno, Jordan R. Willis, Klaas Van Den Heede, et al.. (2014). Potent and Efficacious Inhibition of CXCR2 Signaling by Biparatopic Nanobodies Combining Two Distinct Modes of Action. Molecular Pharmacology. 87(2). 251–262. 61 indexed citations
11.
Combs, Steven A., Samuel DeLuca, Gordon Lemmon, et al.. (2013). Small-molecule ligand docking into comparative models with Rosetta. Nature Protocols. 8(7). 1277–1298. 134 indexed citations
12.
Willis, Jordan R., Bryan Briney, Samuel DeLuca, James E. Crowe, & Jens Meiler. (2013). Human Germline Antibody Gene Segments Encode Polyspecific Antibodies. PLoS Computational Biology. 9(4). e1003045–e1003045. 66 indexed citations
13.
Briney, Bryan, Jordan R. Willis, & James E. Crowe. (2012). Human Peripheral Blood Antibodies with Long HCDR3s Are Established Primarily at Original Recombination Using a Limited Subset of Germline Genes. PLoS ONE. 7(5). e36750–e36750. 80 indexed citations
14.
Briney, Bryan, Jordan R. Willis, & James E. Crowe. (2012). Location and length distribution of somatic hypermutation-associated DNA insertions and deletions reveals regions of antibody structural plasticity. Genes and Immunity. 13(7). 523–529. 53 indexed citations
15.
Briney, Bryan, Jordan R. Willis, Brett A. McKinney, & James E. Crowe. (2012). High-throughput antibody sequencing reveals genetic evidence of global regulation of the naïve and memory repertoires that extends across individuals. Genes and Immunity. 13(6). 469–473. 61 indexed citations
16.
Briney, Bryan, Jordan R. Willis, Mark D. Hicar, James W. Thomas, & James E. Crowe. (2012). Frequency and genetic characterization of V(DD)J recombinants in the human peripheral blood antibody repertoire. Immunology. 137(1). 56–64. 47 indexed citations
17.
Willis, Jordan R., et al.. (2011). Maturation-Induced Cloaking of Neutralization Epitopes on HIV-1 Particles. PLoS Pathogens. 7(9). e1002234–e1002234. 39 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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