A Forget

1.9k citations
46 papers · 1.6k indexed · h-index 17

A Forget

45 papers receiving 1.4k citations

Peers

A Forget
Comparison fields: 5 of 87
  • Infectious Diseases 700
  • Immunology 576
  • Endocrinology 87
  • Epidemiology 583
  • Parasitology 68
Replace P Gros with:
P Gros Canada
Janet E. Plant United Kingdom
Rachel Teitelbaum United States
Mary Jo Hamilton United States
Mark T. Dertzbaugh United States
C Abou-Zeid United Kingdom
E. J. Hensen Netherlands
Ian McConnell United Kingdom
Astrid P. Heikema Netherlands
L. A. Glasgow United States
A Forget relative to P Gros Canada P Gros's profile →
Citations per field
00.5×1.5×1.9×
P Gros · 1×
Citations per year

Countries citing papers authored by A Forget

Since Specialization
Citations

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

Fields of papers citing papers by A Forget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199041
2 19904
3 198967
4 198831
5 198816
6 19884
7 19883
8
Suppressor T cells for delayed-type hypersensitivity in susceptible mice infected with Mycobacterium lepraemurium.
19877
9 19856
10 1984101
11 198484
12
Immunosuppression during Trypanosoma musculi infection in inbred strains of mice.
19838
13 198381
14
Enhancing effect of passive immunization with mycobacterial antibodies on humoral and cellular immunity in BCG-infected mice.
19786
15
Enhancement activity of anti-brucella sera in experimental Brucella abortus infection in mice.
19772
16 197712
17 19743
18 197428
19 19692
20 196213

About A Forget

A Forget is a scholar working on Infectious Diseases, Immunology, Pharmacology, Epidemiology and Microbiology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (13 papers), Tuberculosis Research and Epidemiology (13 papers), Immunodeficiency and Autoimmune Disorders (8 papers), Pharmacological Effects of Natural Compounds (6 papers), Leprosy Research and Treatment (5 papers), Immune Response and Inflammation (4 papers), Immune responses and vaccinations (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Infectious Diseases (700 citations), Immunology (576 citations), Endocrinology (87 citations), Epidemiology (583 citations) and Parasitology (68 citations). A Forget has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Emil Skamene, P Gros, Piet Gros, P A Kongshavn, Benjamin A. Taylor, M Pelletier, R Turcotte, Philippe Gros, D.V. Bourassa and Erwin Schurr. Their work appears in journals such as Infection and Immunity, The Journal of Immunology, Journal of Bacteriology, Advances in experimental medicine and biology and International Archives of Allergy and Immunology.

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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