Grant Lythe

2.0k citations
71 papers · 1.2k · h-index 20

Impact in

Papers in

    • T-cell and B-cell Immunology 22
    • Immune Cell Function and Interaction 17
    • Immunotherapy and Immune Responses 8

Grant Lythe

67 papers receiving 1.2k citations

Peers

Grant Lythe
Comparison fields: 5 of 127
  • Immunology 428
  • Statistical and Nonlinear Physics 200
  • Modeling and Simulation 63
  • Numerical Analysis 50
  • Statistics, Probability and Uncertainty 55
Replace Tomasz Lipniacki with:
Tomasz Lipniacki Poland
Stephen A. Rice United States
Ting Gao China
F. Hayot United States
Tatyana Luzyanina Belgium
Bernard Ycart France
Ulrich Behn Germany
Carmen Molina-Parı́s United Kingdom
Jacques Bélair Canada
Gennady Bocharov Russia
Grant Lythe relative to Tomasz Lipniacki Poland Tomasz Lipniacki's profile →
Citations per field
00.5×4.5×
Tomasz Lipniacki · 1×
Citations per year

Countries citing papers authored by Grant Lythe

Since Specialization
Citations

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

Fields of papers citing papers by Grant Lythe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015104
2 200792
3 201273
4 201267
5 201663
6 199746
7 200038
8 201428
9 201528
10 201127
11 199626
12 201822
13 199822
14 200922
15 200021
16 201620
17 201420
18 199920
19 200320
20 199819

About Grant Lythe

Grant Lythe is a scholar working on Immunology, Molecular Biology, Statistical and Nonlinear Physics, Condensed Matter Physics and Computer Networks and Communications, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (17 papers), Theoretical and Computational Physics (9 papers), Immunotherapy and Immune Responses (8 papers), Nonlinear Dynamics and Pattern Formation (8 papers), stochastic dynamics and bifurcation (8 papers), Stochastic processes and financial applications (6 papers) and Stochastic processes and statistical mechanics (6 papers). The work is most often cited by research in Immunology (428 citations), Statistical and Nonlinear Physics (200 citations), Modeling and Simulation (63 citations), Numerical Analysis (50 citations) and Statistics, Probability and Uncertainty (55 citations). Grant Lythe has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Carmen Molina-Parı́s, Kalvis M. Jansons, Kevin Burrage, Salman Habib, I.J. Lenane, Robin E. Callard, Joseph M. Reynolds, Mario Castro, Thomas Erneux and Vassilios Kovanis. Their work appears in journals such as Frontiers in Immunology, Journal of Theoretical Biology, SIAM Journal on Scientific Computing, Journal of The Royal Society Interface and Physical Review Letters.

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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