Rachel L. Graham

19.6k citations
69 papers · 9.8k indexed · 6 hit papers · h-index 35

Rachel L. Graham

66 papers receiving 9.5k citations

Hit Papers

Receptor Recognition by the N...3.1k200920262014202010002.0k3.0k

Peers

Rachel L. Graham
Comparison fields: 5 of 164
  • Infectious Diseases 8.0k
  • Animal Science and Zoology 2.2k
  • Modeling and Simulation 543
  • Neurology 1.2k
  • Computational Theory and Mathematics 604
Replace Isabel Sola with:
Isabel Sola Spain
Benjamin W. Neuman United States
M. Alejandra Tortorici United States
Jian Shang China
Nianshuang Wang United States
Vineet D. Menachery United States
Alexandra C. Walls United States
Emmie de Wit United States
Lia van der Hoek Netherlands
Ali M. Zaki Saudi Arabia
Rachel L. Graham relative to Isabel Sola Spain Isabel Sola's profile →
Citations per field
00.5×1.5×1.8×
Isabel Sola · 1×
Citations per year

Countries citing papers authored by Rachel L. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Rachel L. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel L. Graham. 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 Rachel L. Graham. The network helps show where Rachel L. Graham may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20231
3 20220
4 202110
5 202071
6 201847
7 201815
8 201786
9 201724
10 201788
11 201714
12
A SARS-like cluster of circulating bat coronaviruses shows potential for human emergencebreakdown →
2015560
13 201381
14 2012175
15 2011328
16 2010329
17 2007105
18 200622
19 20063
20 198831

About Rachel L. Graham

Rachel L. Graham is a scholar working on Animal Science and Zoology, Infectious Diseases and Modeling and Simulation, having authored 69 papers that have together received 9.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (44 papers), Viral gastroenteritis research and epidemiology (40 papers), Animal Virus Infections Studies (40 papers), Virus-based gene therapy research (8 papers), Viral Infections and Outbreaks Research (6 papers), COVID-19 Clinical Research Studies (4 papers), Viral Infections and Immunology Research (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Infectious Diseases (8.0k citations), Animal Science and Zoology (2.2k citations) and Modeling and Simulation (543 citations). Rachel L. Graham has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Ralph S. Baric, Jian Shang, Yushun Wan, Fang Li, Mark R. Denison, Eric Donaldson, Amy Sims, Vineet D. Menachery, Boyd L. Yount and Lance D. Eckerle. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, mBio, Nature Medicine and Viruses.

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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