Frederick G. Ferguson

2.6k total citations
25 papers, 1.9k citations indexed

About

Frederick G. Ferguson is a scholar working on Immunology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Frederick G. Ferguson has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 4 papers in Neurology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Frederick G. Ferguson's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Frederick G. Ferguson is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Frederick G. Ferguson collaborates with scholars based in United States, Sweden and United Kingdom. Frederick G. Ferguson's co-authors include Anders Wikby, Boo Johansson, Sture Löfgren, Bengt‐Olof Nilsson, Pamela M. Maxson, Jan Ernerudh, Jan Olsson, B. Johansson, Rosalyn Forsey and Julie M. Thompson and has published in prestigious journals such as Development, American Journal of Obstetrics and Gynecology and Infection and Immunity.

In The Last Decade

Frederick G. Ferguson

25 papers receiving 1.8k citations

Peers

Frederick G. Ferguson

IMMUN

EPIDE

NEURO

PHYSI

VIROL

Jan Strindhall Sweden

Rosanna Vescovini Italy

Diether Schönitzer Austria

Emanuele Fanales‐Belasio Italy

Alexander Panda United States

S Ohman Sweden

Alejandra Pera Spain

Katrin Hahn Germany

Julie M. Thompson United States

Subhasis Mohanty United States

Jan Strindhall Sweden

Frederick G. Ferguson

1.0k ×1.1

IMMUN

964 ×1.3

EPIDE

299 ×1.0

NEURO

253 ×1.2

PHYSI

196 ×1.1

VIROL

Citations per year, relative to Frederick G. Ferguson Frederick G. Ferguson (= 1×) peers Jan Strindhall

Countries citing papers authored by Frederick G. Ferguson

Since Specialization

Citations

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

Fields of papers citing papers by Frederick G. Ferguson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick G. Ferguson. 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 Frederick G. Ferguson. The network helps show where Frederick G. Ferguson may publish in the future.

Co-authorship network of co-authors of Frederick G. Ferguson

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

All Works

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20 of 20 papers shown

Wikby, Anders, Frederick G. Ferguson, Jan Strindhall, et al.. (2008). Immune Risk Phenotypes and Associated Parameters in Very Old Humans: A Review of Findings in the Swedish NONA Immune Longitudinal Study. 1–14. 2 indexed citations

Wikby, Anders, Bengt‐Olof Nilsson, Rosalyn Forsey, et al.. (2006). The immune risk phenotype is associated with IL-6 in the terminal decline stage: Findings from the Swedish NONA immune longitudinal study of very late life functioning. Mechanisms of Ageing and Development. 127(8). 695–704. 206 indexed citations

Wikby, Anders, Frederick G. Ferguson, Rosalyn Forsey, et al.. (2005). An Immune Risk Phenotype, Cognitive Impairment, and Survival in Very Late Life: Impact of Allostatic Load in Swedish Octogenarian and Nonagenarian Humans. The Journals of Gerontology Series A. 60(5). 556–565. 292 indexed citations

Nilsson, Bengt‐Olof, Jan Ernerudh, Boo Johansson, et al.. (2003). Morbidity does not influence the T-cell immune risk phenotype in the elderly: findings in the Swedish NONA Immune Study using sample selection protocols. Mechanisms of Ageing and Development. 124(4). 469–476. 68 indexed citations

Wikby, Anders, et al.. (2001). Age-related change in peripheral blood T-lymphocyte subpopulations and cytomegalovirus infection in the very old: the Swedish longitudinal OCTO immune study. Mechanisms of Ageing and Development. 121(1-3). 187–201. 358 indexed citations

Wikby, Anders, et al.. (1998). Changes in CD8 and CD4 lymphocyte subsets, T cell proliferation responses and non-survival in the very old: the Swedish longitudinal OCTO-immune study. Mechanisms of Ageing and Development. 102(2-3). 187–198. 273 indexed citations

Whary, Mark T., et al.. (1995). Age-Related Differences in Subset Composition and Activation Responses of Intestinal Intraepithelial and Mesenteric Lymph Node Lymphocytes from Neonatal Swine. Cellular Immunology. 163(2). 215–221. 12 indexed citations

Ferguson, Frederick G., Anders Wikby, Pamela M. Maxson, Jan Olsson, & B. Johansson. (1995). Immune Parameters in a Longitudinal Study of a Very Old Population of Swedish People: A Comparison Between Survivors and Nonsurvivors. The Journals of Gerontology Series A. 50A(6). B378–B382. 293 indexed citations

Wikby, Anders, et al.. (1994). Age-related changes in immune parameters in a very old population of Swedish people: A longitudinal study. Experimental Gerontology. 29(5). 531–541. 103 indexed citations

10.

Whary, Mark T., et al.. (1993). The effects of group housing on the research use of the laboratory rabbit. Laboratory Animals. 27(4). 330–341. 49 indexed citations

11.

Kariv, Ilona, et al.. (1992). Age- and strain-related differences in murine spleen cell responses to different activation signals. Cellular Immunology. 140(1). 67–80. 12 indexed citations

12.

Kariv, Ilona, et al.. (1991). Age-related changes in release of soluble interleukin-2 receptor by murine lymphocytes. Immunology Letters. 27(1). 63–68. 2 indexed citations

13.

Ferguson, Frederick G., et al.. (1988). The effect of selected arachidonic acid metabolites on natural killer cell activity. Prostaglandins. 36(4). 411–419. 5 indexed citations

14.

Ferguson, Frederick G., et al.. (1988). Activation of swine peripheral blood lymphocytes with human recombinant interleukin-2.. PubMed. 64(4). 607–13. 11 indexed citations

15.

Ferguson, Frederick G., et al.. (1988). Characteristics of yorkshire swine natural killer cells. Veterinary Immunology and Immunopathology. 20(1). 15–29. 20 indexed citations

16.

Zarkower, A., et al.. (1982). Antibody-dependent cell-mediated cytotoxicity in pigs. American Journal of Veterinary Research. 43(9). 1590–1593. 10 indexed citations

17.

Zarkower, A., et al.. (1981). Use of 51Cr-labeled mononuclear cells for measuring the cellular immune response in mouse lungs. Infection and Immunity. 31(2). 712–715. 3 indexed citations

18.

Ferguson, Frederick G. & Joy Palm. (1977). Reactivity of rat placental cells with alloantisera. Development. 39(1). 195–202. 7 indexed citations

19.

Toghill, P J, et al.. (1977). Platelet dynamics in chronic liver disease with special reference to the role of the spleen.. Journal of Clinical Pathology. 30(4). 367–371. 54 indexed citations

20.

Palm, Joy & Frederick G. Ferguson. (1976). Fuzzy, a hypotrichotic mutant in linkage group I of the Norway rat. Journal of Heredity. 67(5). 284–288. 24 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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