Greta E. Weiss

3.4k citations
21 papers · 2.2k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Greta E. Weiss

21 papers receiving 2.2k citations

Hit Papers

Lymphoid tissue inducer–like cells are an innate source of IL-17 and IL-22 2008 · 607 citations
6072008202620142020200400600

Peers

Greta E. Weiss
Comparison fields: 5 of 85
  • Immunology 1.3k
  • Public Health, Environmental and Occupational Health 1.1k
  • Parasitology 179
  • Virology 117
  • Endocrinology 44
Replace Michelle Wykes with:
Michelle Wykes Australia
Rachel J. Lundie Australia
Ronald Perraut Senegal
Aïssata Ongoïba United States
Adrian V. S. Hill United Kingdom
Elodie Belnoue Switzerland
Mary H. McGinniss United States
Magali Tichit France
Inès Vigan-Womas France
Jintana Patarapotikul Thailand
Greta E. Weiss relative to Michelle Wykes Australia Michelle Wykes's profile →
Citations per field
00.5×1.5×
Michelle Wykes · 1×
Citations per year

Countries citing papers authored by Greta E. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Greta E. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greta E. Weiss. 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 Greta E. Weiss. The network helps show where Greta E. Weiss may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 202028
3 201785
4 201653
5 201614
6 201557
7 201542
8 2015217
9 201562
10 201440
11 201244
12 201220
13 201125
14 201170
15 2010186
16 200961
17 2009352
18 200952
19 200882
20
Lymphoid tissue inducer–like cells are an innate source of IL-17 and IL-22
Hit paper breakdown →
2008607

About Greta E. Weiss

Greta E. Weiss is a scholar working on Virology, Public Health, Environmental and Occupational Health, Immunology, Parasitology and Biotechnology, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Malaria Research and Control (17 papers), Mosquito-borne diseases and control (14 papers), Complement system in diseases (7 papers), T-cell and B-cell Immunology (4 papers), Research on Leishmaniasis Studies (3 papers), HIV Research and Treatment (3 papers), Immune Cell Function and Interaction (3 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Immunology (1.3k citations), Public Health, Environmental and Occupational Health (1.1k citations), Parasitology (179 citations), Virology (117 citations) and Endocrinology (44 citations). Greta E. Weiss has collaborated with scholars based in United States, Australia and Mali. Frequent co-authors include Yuka Kanno, Hiroaki Takatori, Dan R. Littman, Ivaylo I. Ivanov, Wendy T. Watford, Cristina M. Tato, John J. O’Shea, Paul R. Gilson, Brendan S. Crabb and Peter D. Crompton. Their work appears in journals such as The Journal of Immunology, PLoS Pathogens, Infection and Immunity, Journal of Immunological Methods and BMC Biology.

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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