Adam Buntzman

819 citations
21 papers · 569 indexed · 1 hit paper · h-index 12
Topics
Immune Cell Function and Interaction (5 papers)T-cell and B-cell Immunology (5 papers)Immunotherapy and Immune Responses (4 papers)

In The Last Decade

Adam Buntzman

21 papers receiving 563 citations

Hit Papers

A Humanized Mouse Model to Study Hepatitis C Virus Infect...2011202620162021201150100150200

Peers

Adam Buntzman
Comparison fields: 5 of 74
  • Immunology 218
  • Epidemiology 213
  • Molecular Biology 144
  • Hepatology 134
  • Genetics 91
Replace Dan E. Sturdevant with:
Dan E. Sturdevant United States
Laura Arribillaga Spain
Yinghui Shi China
Ti‐Chun Chao United States
Masaaki Okamoto Japan
Leiyun Weng China
Heesik Yoon United States
Johanna Mazur Germany
Ramya Nandakumar Germany
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Adam Buntzman relative to Dan E. Sturdevant United States Dan E. Sturdevant's profile →
Citations per field
00.5×1.5×
Dan E. Sturdevant · 1×
Citations per year

Countries citing papers authored by Adam Buntzman

Since Specialization
Citations

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

Fields of papers citing papers by Adam Buntzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Buntzman

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Buntzman. A scholar is included among the top collaborators of Adam Buntzman 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 Adam Buntzman. Adam Buntzman 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
#WorkIndexed citations
1 11
2 11
3 2
4 32
5 51
6 11
7 45
8 4
9
Elimination of Pasteurella pneumotropica from a mouse barrier facility by using a modified enrofloxacin treatment regimen.
10
10 1
11 8
12 12
13 6
14 11
15 27
16 39
17 5
18 5
19
A Humanized Mouse Model to Study Hepatitis C Virus Infection, Immune Response, and Liver Diseasebreakdown →
220
20 54

About Adam Buntzman

Adam Buntzman is a scholar working on Immunology, Genetics and Ecological Modeling, having authored 21 papers that have together received 569 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Hepatology (134 citations), Immunology (218 citations) and Epidemiology (213 citations). Adam Buntzman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeffrey A. Frelinger, J. A. Frelinger, Lishan Su, Charles M. Rice, Liguo Zhang, Kovalev Gi, Michael L. Washburn, Moses T. Bility, Alexander Ploß and Benjamin G. Vincent. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Gastroenterology.

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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