William D. Chronister

930 total citations
10 papers, 361 citations indexed

About

William D. Chronister is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William D. Chronister has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William D. Chronister's work include vaccines and immunoinformatics approaches (5 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). William D. Chronister is often cited by papers focused on vaccines and immunoinformatics approaches (5 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). William D. Chronister collaborates with scholars based in United States, Denmark and Argentina. William D. Chronister's co-authors include Bjoern Peters, Leon Eyrich Jessen, Austin Crinklaw, Morten Nielsen, Alessandro Sette, Ole Winther, Amalie Kai Bentzen, Helle Rus Povlsen, Alessandro Montemurro and Sine Reker Hadrup and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and BMC Bioinformatics.

In The Last Decade

William D. Chronister

10 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William D. Chronister United States	8	238	187	79	73	40	10	361
Austin Crinklaw United States	4	212 0.9×	182 1.0×	70 0.9×	55 0.8×	25 0.6×	6	311
Maria Yu. Zakharova Russia	9	143 0.6×	153 0.8×	90 1.1×	41 0.6×	37 0.9×	22	354
Yiqing Chen China	9	252 1.1×	187 1.0×	54 0.7×	49 0.7×	18 0.5×	21	430
Roshni Sundaram United States	9	196 0.8×	158 0.8×	54 0.7×	56 0.8×	26 0.7×	10	351
Alok V. Joglekar United States	7	156 0.7×	244 1.3×	73 0.9×	156 2.1×	31 0.8×	8	344
Anselm Sommer Germany	10	209 0.9×	74 0.4×	28 0.4×	97 1.3×	17 0.4×	10	377
R. Andres Parra Sperberg United States	7	160 0.7×	139 0.7×	33 0.4×	127 1.7×	14 0.3×	9	316
Shawn P. Fessler United States	8	231 1.0×	91 0.5×	66 0.8×	88 1.2×	102 2.5×	12	341
Christian Y. Arod United States	7	200 0.8×	82 0.4×	81 1.0×	33 0.5×	25 0.6×	9	305
Libing Mu China	8	193 0.8×	77 0.4×	24 0.3×	49 0.7×	14 0.3×	10	315

Countries citing papers authored by William D. Chronister

Since Specialization

Citations

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

Fields of papers citing papers by William D. Chronister

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Chronister. 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 William D. Chronister. The network helps show where William D. Chronister may publish in the future.

Co-authorship network of co-authors of William D. Chronister

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

All Works

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10 of 10 papers shown

Kovacsovics-Bankowski, Magdalena, Johanna M. Sweere, Natalia Sigal, et al.. (2024). Lower frequencies of circulating suppressive regulatory T cells and higher frequencies of CD4⁺ naïve T cells at baseline are associated with severe immune-related adverse events in immune checkpoint inhibitor-treated melanoma. Journal for ImmunoTherapy of Cancer. 12(1). e008056–e008056. 9 indexed citations

Marrama, Daniel, William D. Chronister, Randi Vita, et al.. (2023). PEPMatch: a tool to identify short peptide sequence matches in large sets of proteins. BMC Bioinformatics. 24(1). 485–485. 5 indexed citations

Chronister, William D., Alessandro Sette, & Bjoern Peters. (2022). Epitope-Specific T Cell Receptor Data and Tools in the Immune Epitope Database. Methods in molecular biology. 2574. 267–280. 10 indexed citations

Singhania, Akul, Rebecca Kuan, William D. Chronister, et al.. (2021). CD4+CCR6+ T cells dominate the BCG-induced transcriptional signature. EBioMedicine. 74. 103746–103746. 12 indexed citations

Montemurro, Alessandro, Helle Rus Povlsen, Amalie Kai Bentzen, et al.. (2021). NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data. Communications Biology. 4(1). 1060–1060. 143 indexed citations

Chronister, William D., Austin Crinklaw, Swapnil Mahajan, et al.. (2021). TCRMatch: Predicting T-Cell Receptor Specificity Based on Sequence Similarity to Previously Characterized Receptors. Frontiers in Immunology. 12. 640725–640725. 86 indexed citations

Koşaloğlu, Zeynep, John Sidney, William D. Chronister, Bjoern Peters, & Alessandro Sette. (2020). Comparison of HLA ligand elution data and binding predictions reveals varying prediction performance for the multiple motifs recognized by HLA‐DQ2.5. Immunology. 162(2). 235–247. 7 indexed citations

Fragola, Giulia, Angela M. Mabb, Bonnie Taylor‐Blake, et al.. (2020). Deletion of Topoisomerase 1 in excitatory neurons causes genomic instability and early onset neurodegeneration. Nature Communications. 11(1). 1962–1962. 24 indexed citations

Chronister, William D., Ian Burbulis, Joel E. Kleinman, et al.. (2019). Neurons with Complex Karyotypes Are Rare in Aged Human Neocortex. Cell Reports. 26(4). 825–835.e7. 53 indexed citations

10.

Chronister, William D., et al.. (2016). Single neuron transcriptome analysis can reveal more than cell type classification. BioEssays. 38(2). 157–161. 12 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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