Christopher Gauci

728 citations
19 papers · 525 · h-index 11

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 4
    • Cytokine Signaling Pathways and Interactions 2

Christopher Gauci

18 papers receiving 444 citations

Peers

Christopher Gauci
Comparison fields: 5 of 98
  • Immunology 168
  • Hematology 72
  • Oncology 111
  • Epidemiology 109
  • Immunology and Allergy 18
Replace Johan Mattsson with:
Johan Mattsson Sweden
D Banerjee Canada
G Michel Germany
Kenji Kurihara Japan
Jung Sang Lee South Korea
Andrea Costantini Italy
Árni Rafn Rúnarsson Iceland
Elizabeth J. Williams United Kingdom
Bertil Lindquist Sweden
Gina Lee United States
Christopher Gauci relative to Johan Mattsson Sweden Johan Mattsson's profile →
Citations per field
00.5×
Johan Mattsson · 1×
Citations per year

Countries citing papers authored by Christopher Gauci

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Gauci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1973125
2 198265
3 197564
4 197659
5 198338
6 199032
7 202228
8 198321
9 196920
10 201819
11 197618
12 19769
13 19758
14 19767
15 20076
16
The effect of local irradiation on the immune response in mice. I. Effect of sham-irradiation.
19792
17 19752
18 20241
19 19781

About Christopher Gauci

Christopher Gauci is a scholar working on Hematology, Oncology, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 525 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Maritime and Coastal Archaeology (2 papers), Coastal and Marine Dynamics (2 papers), Respiratory viral infections research (2 papers), Immune cells in cancer (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Water Quality Monitoring Technologies (1 paper). The work is most often cited by research in Immunology (168 citations), Hematology (72 citations), Oncology (111 citations), Epidemiology (109 citations) and Immunology and Allergy (18 citations). Christopher Gauci has collaborated with scholars based in United Kingdom, Malta and Italy. Frequent co-authors include Peter Alexander, G.M. Scott, Suzanne A. Eccles, M. E. J. Beard, G. Hamilton Fairley, P. F. M. Wrigley, R Powles, John G. Wallace, Ronald Bodley Scott and D. Crowther. Their work appears in journals such as Antiviral Research, Cancer Letters, British Journal of Cancer, Antimicrobial Agents and Chemotherapy and Journal of Maps.

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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