Geoffrey Neale

24.3k citations
171 papers · 15.3k indexed · 7 hit papers · h-index 59
Topics
Immune Cell Function and Interaction (37 papers)T-cell and B-cell Immunology (27 papers)Acute Myeloid Leukemia Research (18 papers)

In The Last Decade

Geoffrey Neale

167 papers receiving 15.2k citations

Hit Papers

HIF1α–dependent glycolytic pathway orchestrates a metabol...2011202620162021201120202013201620114008001.2k

Peers

Geoffrey Neale
Comparison fields: 5 of 140
  • Molecular Biology 7.3k
  • Immunology 6.6k
  • Oncology 2.4k
  • Epidemiology 1.9k
  • Cancer Research 1.7k
Replace Paul J. Coffer with:
Paul J. Coffer Netherlands
Clifford A. Lowell United States
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Geoffrey Neale relative to Paul J. Coffer Netherlands Paul J. Coffer's profile →
Citations per field
00.5×1.6×
Paul J. Coffer · 1×
Citations per year

Countries citing papers authored by Geoffrey Neale

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Neale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Neale

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 23
3
ADAR1 restricts ZBP1-mediated immune response and PANoptosis to promote tumorigenesisbreakdown →
298
4 9
5 10
6 60
7 53
8 62
9 87
10 24
11 38
12 75
13
Inflammasome is a central player in the induction of obesity and insulin resistancebreakdown →
605
14 186
15 103
16 17
17 95
18 116
19 187
20
Artificial nutrition support for patients in the Cambridge Health District.
12

About Geoffrey Neale

Geoffrey Neale is a scholar working on Immunology, Hematology and Genetics, having authored 171 papers that have together received 15.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (37 papers), T-cell and B-cell Immunology (27 papers) and Acute Myeloid Leukemia Research (18 papers). The work is most often cited by research in Immunology (6.6k citations), Cancer Research (1.7k citations) and Molecular Biology (7.3k citations). Geoffrey Neale has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Peter Vogel, Hongbo Chi, Thirumala‐Devi Kanneganti, Douglas R. Green, Kai Yang, R. K. Subbarao Malireddi, Rajendra Karki, Gonghua Huang, Lewis Z. Shi and Ruoning Wang. Their work appears in journals such as Nature, Cell 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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