Garry D Daniels

469 total citations
9 papers, 403 citations indexed

About

Garry D Daniels is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Garry D Daniels has authored 9 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Garry D Daniels's work include Aquaculture disease management and microbiota (4 papers), Chemokine receptors and signaling (2 papers) and interferon and immune responses (1 paper). Garry D Daniels is often cited by papers focused on Aquaculture disease management and microbiota (4 papers), Chemokine receptors and signaling (2 papers) and interferon and immune responses (1 paper). Garry D Daniels collaborates with scholars based in United Kingdom, Norway and France. Garry D Daniels's co-authors include Christopher J. Secombes, Laura J. Hardie, Jun Zou, Charles Cunningham, Kerry J. Laing, Charles Cunningham, Peter Grabowski, Graham J. Kemp, Antonis Koussounadis and Sylvie Partula and has published in prestigious journals such as Immunological Reviews, European Journal of Immunology and Aquaculture.

In The Last Decade

Garry D Daniels

9 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Garry D Daniels United Kingdom	6	338	126	71	59	36	9	403
Tanja Maehr United Kingdom	7	330 1.0×	80 0.6×	60 0.8×	63 1.1×	41 1.1×	10	417
Jichen Zhao China	12	314 0.9×	145 1.2×	94 1.3×	57 1.0×	53 1.5×	28	451
Kete Ai China	15	343 1.0×	44 0.3×	71 1.0×	46 0.8×	16 0.4×	22	436
Yanjian Yang China	12	319 0.9×	74 0.6×	59 0.8×	18 0.3×	21 0.6×	27	381
Xia Bian China	14	422 1.2×	73 0.6×	73 1.0×	30 0.5×	21 0.6×	17	472
Charles Y. Feng Canada	8	203 0.6×	130 1.0×	65 0.9×	9 0.2×	43 1.2×	11	325
Inge R. Fink Netherlands	8	358 1.1×	89 0.7×	56 0.8×	7 0.1×	42 1.2×	13	422
Z. X. Sha China	9	223 0.7×	62 0.5×	145 2.0×	9 0.2×	27 0.8×	11	397
Xiaolian Liu China	8	132 0.4×	120 1.0×	173 2.4×	11 0.2×	53 1.5×	26	383
Yujun Liang China	11	94 0.3×	29 0.2×	122 1.7×	12 0.2×	63 1.8×	21	337

Countries citing papers authored by Garry D Daniels

Since Specialization

Citations

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

Fields of papers citing papers by Garry D Daniels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garry D Daniels. 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 Garry D Daniels. The network helps show where Garry D Daniels may publish in the future.

Co-authorship network of co-authors of Garry D Daniels

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

All Works

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9 of 9 papers shown

1.

Harding, Michael W., Garry D Daniels, R. J. Howard, et al.. (2014). IN VITRO EVALUATIONS OF MICROBIAL BIOFILMS AND THEIR RESPONSES TO CHEMICAL DISINFECTANTS. Acta Horticulturae. 245–255. 2 indexed citations

2.

Liversidge, Janet, Andrew D. Dick, Garry D Daniels, & Rosemary Dawson. (2000). Induction or suppression of a B cell-specific response to self antigenin vivo is dependent upon dendritic cell activation via the TNF-α receptor at the time of antigen uptake. European Journal of Immunology. 30(8). 2268–2280. 4 indexed citations

3.

Daniels, Garry D & Christopher J. Secombes. (1999). Genomic organisation of rainbow trout, Oncorhynchus mykiss TGF-β. Developmental & Comparative Immunology. 23(2). 139–147. 31 indexed citations

4.

Secombes, Christopher J., Jun Zou, Kerry J. Laing, Garry D Daniels, & Charles Cunningham. (1999). Cytokine genes in fish. Aquaculture. 172(1-2). 93–102. 41 indexed citations

5.

Daniels, Garry D, Jun Zou, Jacques Charlemagne, et al.. (1999). Cloning of two chemokine receptor homologs (CXC-R4 and CC-R7) in rainbow trout Oncorhynchus mykiss. Journal of Leukocyte Biology. 65(5). 684–690. 54 indexed citations

6.

Secombes, Christopher J., Jun Zou, Garry D Daniels, et al.. (1998). Rainbow trout cytokine and cytokine receptor genes. Immunological Reviews. 166(1). 333–340. 57 indexed citations

7.

Hardie, Laura J., Kerry J. Laing, Garry D Daniels, et al.. (1998). ISOLATION OF THE FIRST PISCINE TRANSFORMING GROWTH FACTOR β GENE: ANALYSIS REVEALS TISSUE SPECIFIC EXPRESSION AND A POTENTIAL REGULATORY SEQUENCE IN RAINBOW TROUT (ONCORHYNCHUS MYKISS). Cytokine. 10(8). 555–563. 96 indexed citations

8.

Secombes, Christopher J., Jun Zou, Laura J. Hardie, et al.. (1997). G8 3:30 Rainbow trout cytokine genes. Developmental & Comparative Immunology. 21(2). 138–138. 2 indexed citations

9.

Secombes, Christopher J., Laura J. Hardie, & Garry D Daniels. (1996). Cytokines in fish: an update. Fish & Shellfish Immunology. 6(4). 291–304. 116 indexed citations

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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