Robert N. Kirchdoerfer

4.4k citations
24 papers · 2.5k indexed · 3 hit papers · h-index 18

Robert N. Kirchdoerfer

24 papers receiving 2.5k citations

Hit Papers

Stabilized coronavirus spikes are resistant to conformati...3112016202620192022200400600

Peers

Robert N. Kirchdoerfer
Comparison fields: 5 of 104
  • Infectious Diseases 1.8k
  • Animal Science and Zoology 466
  • Virology 84
  • Immunology 304
  • Epidemiology 463
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Yongfei Cai United States
Hannah L. Turner United States
Tianshu Xiao United States
Michael D. Mühlebach Germany
Zizhang Sheng United States
Hongjie Xia United States
Wanbo Tai United States
Jian Yu United States
Chang‐Chun D. Lee United States
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Citations per year

Countries citing papers authored by Robert N. Kirchdoerfer

Since Specialization
Citations

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

Fields of papers citing papers by Robert N. Kirchdoerfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert N. Kirchdoerfer. 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 Robert N. Kirchdoerfer. The network helps show where Robert N. Kirchdoerfer may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Robert N. Kirchdoerfer, 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 Robert N. Kirchdoerfer Line = papers co-authored together Robert N. Kirchdoerfer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202211
2 202121
3 202062
4 202070
5 2020200
6 202052
7 20208
8 201941
9
Stabilized coronavirus spikes are resistant to conformational changes induced by receptor recognition or proteolysisbreakdown →
2018311
10 201842
11
Immunogenicity and structures of a rationally designed prefusion MERS-CoV spike antigenbreakdown →
2017623
12 201719
13 201656
14
Pre-fusion structure of a human coronavirus spike proteinbreakdown →
2016526
15 20149
16 2012201
17 20123
18 201149
19 200724
20 200717

About Robert N. Kirchdoerfer

Robert N. Kirchdoerfer is a scholar working on Infectious Diseases, Animal Science and Zoology and Microbiology, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Viral Infections and Outbreaks Research (6 papers), Animal Virus Infections Studies (6 papers), Viral Infections and Vectors (5 papers), RNA and protein synthesis mechanisms (5 papers), Virus-based gene therapy research (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Animal Science and Zoology (466 citations) and Virology (84 citations). Robert N. Kirchdoerfer has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Andrew B. Ward, Hannah L. Turner, Barney S. Graham, Jason S. McLellan, Kizzmekia S. Corbett, Nianshuang Wang, Jesper Pallesen, Christopher A. Cottrell, Daniel Wrapp and Hadi M. Yassine. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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