Lisya Gerez

892 citations
31 papers · 708 · h-index 16

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 5
    • Immune Response and Inflammation 4

Lisya Gerez

30 papers receiving 687 citations

Peers

Lisya Gerez
Comparison fields: 5 of 80
  • Immunology 244
  • Cell Biology 167
  • Epidemiology 185
  • Physiology 24
  • Molecular Biology 313
Replace Ruth Rollason with:
Ruth Rollason United Kingdom
Sungwook Lee South Korea
Mayumi Shiota Japan
Delu Zhou United States
Douglas J. Dorahy Australia
Thaneas Prabakaran Denmark
Richtje Leijendekker Netherlands
Élise Jacquin France
Ewoud B. Compeer United Kingdom
Suzu Igarashi United States
Lisya Gerez relative to Ruth Rollason United Kingdom Ruth Rollason's profile →
Citations per field
00.5×1.5×
Ruth Rollason · 1×
Citations per year

Countries citing papers authored by Lisya Gerez

Since Specialization
Citations

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

Fields of papers citing papers by Lisya Gerez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199679
2 200270
3 200050
4 200647
5 200746
6 200241
7 200540
8 200036
9 200435
10 200235
11 199528
12 199125
13 199124
14 199721
15 200419
16 200215
17 200814
18 199014
19 200312
20 200011

About Lisya Gerez

Lisya Gerez is a scholar working on Immunology, Molecular Biology, Cell Biology, Epidemiology and Physiology, having authored 31 papers that have together received 708 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Cellular transport and secretion (7 papers), Influenza Virus Research Studies (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers), Respiratory viral infections research (4 papers), Pancreatic function and diabetes (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Immunology (244 citations), Cell Biology (167 citations), Epidemiology (185 citations), Physiology (24 citations) and Molecular Biology (313 citations). Lisya Gerez has collaborated with scholars based in Netherlands, Israel and Belgium. Frequent co-authors include Peter van der Sluijs, Karin Mohrmann, Raymond Kaempfer, A.M. Palache, Iris A. de Bruijn, J. J. P. Nauta, Gila Arad, Rob Benne, M. van Raak and Amos Shapiro. Their work appears in journals such as Vaccine, Journal of Biological Chemistry, Blood, Biochemical Journal and Electrophoresis.

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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