Will Fischer

9.2k total citations · 1 hit paper
44 papers, 2.3k citations indexed

About

Will Fischer is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Will Fischer has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Virology and 15 papers in Immunology. Recurrent topics in Will Fischer's work include HIV Research and Treatment (16 papers), vaccines and immunoinformatics approaches (10 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Will Fischer is often cited by papers focused on HIV Research and Treatment (16 papers), vaccines and immunoinformatics approaches (10 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Will Fischer collaborates with scholars based in United States, United Kingdom and Japan. Will Fischer's co-authors include Bette Korber, Masaaki Nakahara, Kazuhito Inoue, Jin Xiong, Carl E. Bauer, James Theiler, Barton F. Haynes, Norman L. Letvin, Tanmoy Bhattacharya and Karina Yusim and has published in prestigious journals such as Science, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Will Fischer

41 papers receiving 2.3k citations

Hit Papers

SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Will Fischer United States 22 1.1k 973 696 634 395 44 2.3k
Sonja Welsch Germany 24 1.2k 1.2× 1.1k 1.1× 622 0.9× 1.2k 1.9× 612 1.5× 42 3.5k
Baoshan Zhang United States 26 648 0.6× 1.1k 1.1× 752 1.1× 632 1.0× 614 1.6× 74 2.2k
Kazutoyo Miura United States 41 1.5k 1.4× 469 0.5× 1.9k 2.7× 489 0.8× 566 1.4× 160 5.6k
Scott L. Butler United States 17 1.5k 1.4× 1.2k 1.2× 412 0.6× 1.4k 2.2× 488 1.2× 21 2.9k
Hong Zhao China 26 1.1k 1.1× 703 0.7× 317 0.5× 482 0.8× 220 0.6× 83 2.3k
Wataru Sugiura Japan 27 593 0.6× 1.3k 1.4× 421 0.6× 1.4k 2.2× 521 1.3× 137 2.4k
Maureen M. Goodenow United States 35 842 0.8× 2.4k 2.5× 991 1.4× 1.8k 2.9× 709 1.8× 118 4.0k
Hirotaka Ode Japan 26 777 0.7× 717 0.7× 248 0.4× 1.1k 1.7× 276 0.7× 66 1.9k
Kemp B. Cease United States 26 1.6k 1.5× 708 0.7× 1.3k 1.9× 404 0.6× 465 1.2× 61 3.7k
Suraiya Rasheed United States 25 696 0.7× 1.1k 1.1× 408 0.6× 1.1k 1.7× 571 1.4× 76 2.8k

Countries citing papers authored by Will Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Will Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Will Fischer. A scholar is included among the top collaborators of Will Fischer 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 Will Fischer. Will Fischer 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
1.
Beesley, Lauren J., Kelly R. Moran, Kshitij Wagh, et al.. (2023). SARS-CoV-2 variant transition dynamics are associated with vaccination rates, number of co-circulating variants, and convalescent immunity. EBioMedicine. 91. 104534–104534. 16 indexed citations
2.
Fenimore, Paul W., et al.. (2022). Integrative structural studies of the SARS-CoV-2 spike protein during the fusion process (2022). SHILAP Revista de lepidopterología. 4. 220–230. 1 indexed citations
3.
Fenimore, Paul W., Will Fischer, Benjamin H. McMahon, et al.. (2021). Modeling the Influenza A NP-vRNA-Polymerase Complex in Atomic Detail. Biomolecules. 11(1). 124–124. 3 indexed citations
4.
Painter, Wendy, Timothy P. Sheahan, Ralph S. Baric, et al.. (2021). Reduction in infectious sars-cov-2 in treatment study of covid-19 with molnupiravir. 29(1). 304–305. 9 indexed citations
5.
Shen, Xiaoying, Haili Tang, Charlene McDanal, et al.. (2021). SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing antibodies elicited by ancestral spike vaccines. Cell Host & Microbe. 29(4). 529–539.e3. 222 indexed citations breakdown →
6.
Fischer, Will, et al.. (2018). Sparse coding of pathology slides compared to transfer learning with deep neural networks. BMC Bioinformatics. 19(S18). 489–489. 9 indexed citations
7.
Jülg, Boris, Po-Ting Liu, Kshitij Wagh, et al.. (2017). Protection against a mixed SHIV challenge by a broadly neutralizing antibody cocktail. Science Translational Medicine. 9(408). 96 indexed citations
8.
Yusim, Karina, Hyejin Yoon, Brian Foley, et al.. (2016). Integrated sequence and immunology filovirus database at Los Alamos. Database. 2016. baw047–baw047. 3 indexed citations
9.
Brodin, Johanna, Gayathri S. Athreya, Will Fischer, et al.. (2013). A multiple-alignment based primer design algorithm for genetically highly variable DNA targets. BMC Bioinformatics. 14(1). 255–255. 37 indexed citations
10.
Fischer, Will, Cristian Apetrei, Mario L. Santiago, et al.. (2012). Distinct Evolutionary Pressures Underlie Diversity in Simian Immunodeficiency Virus and Human Immunodeficiency Virus Lineages. Journal of Virology. 86(24). 13217–13231. 21 indexed citations
11.
Burgers, Wendy A., Amapola Manrique, David Masopust, et al.. (2011). Measurements of Immune Responses for Establishing Correlates of Vaccine Protection Against HIV. AIDS Research and Human Retroviruses. 28(7). 641–648. 10 indexed citations
12.
Santra, Sampa, Hua‐Xin Liao, Ruijin Zhang, et al.. (2010). Mosaic vaccines elicit CD8+ T lymphocyte responses that confer enhanced immune coverage of diverse HIV strains in monkeys. Nature Medicine. 16(3). 324–328. 185 indexed citations
13.
Yusim, Karina, Will Fischer, Ho-Kyoung Yoon, et al.. (2010). Genotype 1 and global hepatitis C T-cell vaccines designed to optimize coverage of genetic diversity. Journal of General Virology. 91(5). 1194–1206. 24 indexed citations
14.
Kong, Wing-Pui, Lan Wu, Timothy C. Wallstrom, et al.. (2008). Expanded Breadth of the T-Cell Response to Mosaic Human Immunodeficiency Virus Type 1 Envelope DNA Vaccination. Journal of Virology. 83(5). 2201–2215. 54 indexed citations
15.
Butler, Merlin G., Will Fischer, Nataliya Kibiryeva, & Douglas C. Bittel. (2008). Array comparative genomic hybridization (aCGH) analysis in Prader–Willi syndrome. American Journal of Medical Genetics Part A. 146A(7). 854–860. 61 indexed citations
16.
Hraber, Peter, Will Fischer, William Bruno, Thomas Leitner, & Carla Kuiken. (2006). Comparative analysis of hepatitis C virus phylogenies from coding and non-coding regions: the 5' untranslated region (UTR) fails to classify subtypes.. Virology Journal. 3(1). 103–103. 24 indexed citations
17.
Fischer, Will, Simon Perkins, James Theiler, et al.. (2006). Polyvalent vaccines for optimal coverage of potential T-cell epitopes in global HIV-1 variants. Nature Medicine. 13(1). 100–106. 325 indexed citations
18.
Fischer, Will & Jeffrey D. Palmer. (2005). Evidence from small-subunit ribosomal RNA sequences for a fungal origin of Microsporidia. Molecular Phylogenetics and Evolution. 36(3). 606–622. 34 indexed citations
19.
20.
Fischer, Will, et al.. (1980). Behaviour of maternal antibodies against bovine leukosis virus in the blood serum of calves and their significance in relation to disease control legislation.. Tierärztliche Umschau. 35(12). 815–823. 1 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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