Gregory Alvord

875 total citations
10 papers, 629 citations indexed

About

Gregory Alvord is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gregory Alvord has authored 10 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gregory Alvord's work include Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers) and Immune Response and Inflammation (2 papers). Gregory Alvord is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers) and Immune Response and Inflammation (2 papers). Gregory Alvord collaborates with scholars based in United States, Canada and Israel. Gregory Alvord's co-authors include Walter J. Urba, John T. Vetto, Andrew D. Weinberg, Rodney A. Prell, Campbell Bunce, John Shields, Arden M. Morris, Claudio Campagna, A. Rus Hoelzel and Burney J. Le Bœuf and has published in prestigious journals such as The Journal of Immunology, American Journal Of Pathology and Journal of Immunological Methods.

In The Last Decade

Gregory Alvord

10 papers receiving 607 citations

Peers

Gregory Alvord
Comparison fields: 5 of 81
  • Immunology 328
  • Oncology 230
  • Molecular Biology 146
  • Genetics 81
  • Ecology 69
David Noyes United States
Kaori Nakajima Japan
Michael Sulak United States
Stefanie Reinhardt Germany
Emily A. Hardison United States
Magali Prigent France
Hywel B. Jones United Kingdom
Katie Harris United States
Johannes Landskron Norway
Arianne C. Richard United Kingdom
David Noyes United States View profile →
Citations per field, relative to Gregory Alvord
Gregory Alvord · 1×
Citations per year, relative to Gregory Alvord
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Countries citing papers authored by Gregory Alvord

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Alvord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Alvord

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Alvord. A scholar is included among the top collaborators of Gregory Alvord 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 Gregory Alvord. Gregory Alvord is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 2
2 34
3 79
4 30
5 103
6 315
7 25
8
Correlation between H-ras p21TLeu61 protein content and tumorigenicity of NIH3T3 cells.
8
9 12
10 21

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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