Grant L. J. Keller

483 citations
11 papers · 298 indexed · h-index 9
Topics
vaccines and immunoinformatics approaches (8 papers)Immunotherapy and Immune Responses (8 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)

In The Last Decade

Grant L. J. Keller

11 papers receiving 282 citations

Peers

Grant L. J. Keller
Comparison fields: 5 of 38
  • Immunology 228
  • Molecular Biology 195
  • Oncology 113
  • Radiology, Nuclear Medicine and Imaging 98
  • Cancer Research 13
Replace Xiaoshan M. Shao with:
Xiaoshan M. Shao United States
R. Andres Parra Sperberg United States
Emmi Jokinen Finland
Aaron Graubert United States
Georgios Fotakis Austria
Alok V. Joglekar United States
Sidi Zhao United States
Scott Kivitz United States
Rochelle Ayala Australia
Nishant K. Singh United States
Grant L. J. Keller relative to Xiaoshan M. Shao United States Xiaoshan M. Shao's profile →
Citations per field
00.5×2.8×
Xiaoshan M. Shao · 1×
Citations per year

Countries citing papers authored by Grant L. J. Keller

Since Specialization
Citations

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

Fields of papers citing papers by Grant L. J. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant L. J. Keller. 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 Grant L. J. Keller. The network helps show where Grant L. J. Keller may publish in the future.

Co-authorship network of co-authors of Grant L. J. Keller

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 27
2 9
3 2
4 8
5 6
6 22
7 48
8 24
9 50
10 62
11 40

About Grant L. J. Keller

Grant L. J. Keller is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 11 papers that have together received 298 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (8 papers), Immunotherapy and Immune Responses (8 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Immunology (228 citations), Radiology, Nuclear Medicine and Imaging (98 citations) and Oncology (113 citations). Grant L. J. Keller has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Brian M. Baker, Jason R. Devlin, Timothy P. Riley, George Coukos, Cory M. Ayres, Pramod K. Srivastava, Angela R. Smith, Jesus A. Alonso, Ion Măndoiu and Tatiana Shcheglova. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

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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