Samuel W. Kazer

10.1k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Samuel W. Kazer is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Samuel W. Kazer has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Virology. Recurrent topics in Samuel W. Kazer's work include T-cell and B-cell Immunology (7 papers), HIV Research and Treatment (5 papers) and Immune Cell Function and Interaction (5 papers). Samuel W. Kazer is often cited by papers focused on T-cell and B-cell Immunology (7 papers), HIV Research and Treatment (5 papers) and Immune Cell Function and Interaction (5 papers). Samuel W. Kazer collaborates with scholars based in United States, Germany and United Kingdom. Samuel W. Kazer's co-authors include Alex K. Shalek, José Ordovás-Montañés, Howard R. Katz, Joshua A. Boyce, Sarah K. Nyquist, Travis K. Hughes, Eri Yoshimoto, Neil Bhattacharyya, Bonnie Berger and Marko Vukovic and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Samuel W. Kazer

23 papers receiving 1.0k citations

Hit Papers

Allergic inflammatory memory in human respiratory epithel... 2018 2026 2020 2023 2018 100 200 300

Peers

Samuel W. Kazer
Comparison fields: 5 of 107
  • Molecular Biology 404
  • Immunology 317
  • Physiology 143
  • Biomedical Engineering 107
  • Virology 103
Replace Hao‐Ping Liu with:
Hao‐Ping Liu Taiwan
Daniel Christ Australia
Andrew M. Collins Australia
C. Kelly United Kingdom
Se Jin Im South Korea
J. Scott Hale United States
Todd M. Gierahn United States
Jianlong Lou United States
Mohammad Rashidian United States
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Hao‐Ping Liu Taiwan View profile →
Citations per field, relative to Samuel W. Kazer
Samuel W. Kazer · 1×
Citations per year, relative to Samuel W. Kazer
Samuel W. Kazer · 1×

Countries citing papers authored by Samuel W. Kazer

Since Specialization
Citations

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

Fields of papers citing papers by Samuel W. Kazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel W. Kazer. 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 Samuel W. Kazer. The network helps show where Samuel W. Kazer may publish in the future.

Co-authorship network of co-authors of Samuel W. Kazer

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel W. Kazer. A scholar is included among the top collaborators of Samuel W. Kazer 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 Samuel W. Kazer. Samuel W. Kazer 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
# Work Indexed citations
1 1
2 2
3 1
4 13
5 10
6 3
7 16
8 19
9 12
10 33
11 57
12 45
13
Allergic inflammatory memory in human respiratory epithelial progenitor cells breakdown →
359
14 19
15 31
16 17
17 121
18 49
19 17
20 16

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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