William Buchser

42 papers receiving 2.2k citations

William Buchser's Hit Papers

Identification of SARS-CoV-2 spike mutations that attenuate monoclonal and serum antibody neutralization 2021 · 458 citations
4580+1+3Years since publication100200300400

Peers

William Buchser
Comparison fields: 5 of 121
  • Infectious Diseases 600
  • Developmental Biology 56
  • Cancer Research 236
  • Clinical Biochemistry 109
  • Developmental Neuroscience 64
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Li He China
Hanka Venselaar Netherlands
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Countries citing papers authored by William Buchser

Since Specialization
Citations

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

Fields of papers citing papers by William Buchser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Buchser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Buchser Line = papers co-authored together William Buchser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of SARS-CoV-2 spike mutations that attenuate monoclonal and serum antibody neutralization
Hit paper breakdown →
2021458
2 2012299
3 2012235
4 2020177
5 2010152
6 2012129
7 2012122
8 201060
9
Assay Development Guidelines for Image-Based High Content Screening, High Content Analysis and High Content Imaging
201457
10 200350
11 200447
12 201046
13 200544
14 201436
15 201936
16 202133
17 200927
18 201227
19 200627
20 201218

About William Buchser

William Buchser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Immunology and Ecology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Marine animal studies overview (4 papers), Immune cells in cancer (4 papers), Immune Cell Function and Interaction (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), RNA Research and Splicing (3 papers), Nerve injury and regeneration (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Infectious Diseases (600 citations), Developmental Biology (56 citations), Cancer Research (236 citations), Clinical Biochemistry (109 citations) and Developmental Neuroscience (64 citations). William Buchser has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael T. Lotze, Andrea Sobo-Vujanovic, Nikola L. Vujanović, Stephan A. Munich, Donna Beer–Stolz, Vance Lemmon, Thomas Laskow, Zhongmin Lu, Per Basse and Patricia Loughran. Their work appears in journals such as Cancer Research, Journal of Comparative Physiology A, Scientific Data, PLoS ONE and Cell Host & Microbe.

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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