Lisya Gerez

892 total citations
31 papers, 708 citations indexed

About

Lisya Gerez is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Lisya Gerez has authored 31 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 10 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Lisya Gerez's work include Immune Cell Function and Interaction (8 papers), Cellular transport and secretion (7 papers) and Influenza Virus Research Studies (6 papers). Lisya Gerez is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Cellular transport and secretion (7 papers) and Influenza Virus Research Studies (6 papers). Lisya Gerez collaborates with scholars based in Netherlands, Israel and Belgium. Lisya Gerez's co-authors include Peter van der Sluijs, Karin Mohrmann, Raymond Kaempfer, Iris A. de Bruijn, A.M. Palache, J. J. P. Nauta, Gila Arad, Rob Benne, M. van Raak and Amos Shapiro and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Lisya Gerez

30 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisya Gerez Netherlands 16 313 244 185 167 91 31 708
Élise Jacquin France 11 251 0.8× 162 0.7× 445 2.4× 128 0.8× 84 0.9× 19 703
Richtje Leijendekker Netherlands 7 519 1.7× 251 1.0× 106 0.6× 217 1.3× 48 0.5× 7 892
Sungwook Lee South Korea 17 356 1.1× 525 2.2× 295 1.6× 101 0.6× 27 0.3× 30 999
Valérie Giordanengo France 16 333 1.1× 191 0.8× 259 1.4× 36 0.2× 62 0.7× 40 809
Ole J.B. Landsverk Norway 16 272 0.9× 558 2.3× 102 0.6× 64 0.4× 60 0.7× 27 910
Julien Papoin United States 17 270 0.9× 174 0.7× 154 0.8× 83 0.5× 75 0.8× 31 970
Bruce Koppelman United States 8 188 0.6× 440 1.8× 100 0.5× 72 0.4× 36 0.4× 10 678
Delu Zhou United States 12 190 0.6× 304 1.2× 253 1.4× 79 0.5× 22 0.2× 16 655
Suzu Igarashi United States 11 251 0.8× 308 1.3× 320 1.7× 55 0.3× 38 0.4× 16 849
Yusuke Murakami Japan 17 276 0.9× 495 2.0× 158 0.9× 37 0.2× 33 0.4× 43 799

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-authorship network of co-authors of Lisya Gerez

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

All Works

20 of 20 papers shown
1.
Roy, Denis‐Claude, S Lachance, Jean Roy, et al.. (2016). Donor lymphocytes depleted of alloreactive T-cells (ATIR101) improve overall survival and reduce transplant related mortality in a T-cell depleted haploidentical HSCT: Results from a Phase 2 trial in patients with AML and ALL. Bone Marrow Transplantation. 51.
3.
Meyer, Ingo, et al.. (2007). Antibody induction by virosomal, MF59-adjuvanted, or conventional influenza vaccines in the elderly. Vaccine. 26(1). 119–127. 46 indexed citations
4.
Bruijn, Iris A. de, J. J. P. Nauta, Lisya Gerez, & A.M. Palache. (2006). The virosomal influenza vaccine Invivac®: Immunogenicity and tolerability compared to an adjuvanted influenza vaccine (Fluad®) in elderly subjects. Vaccine. 24(44-46). 6629–6631. 47 indexed citations
5.
Bruijn, Iris A. de, et al.. (2005). Clinical experience with inactivated, virosomal influenza vaccine. Vaccine. 23. S39–S49. 40 indexed citations
6.
Bruijn, Iris A. de, J. J. P. Nauta, Lisya Gerez, & A.M. Palache. (2004). Virosomal influenza vaccine: a safe and effective influenza vaccine with high efficacy in elderly and subjects with low pre-vaccination antibody titers. Virus Research. 103(1-2). 139–145. 35 indexed citations
7.
Gerez, Lisya, Annett de Haan, Elly M. Hol, et al.. (2004). Molecular misreading: the frequency of dinucleotide deletions in neuronal mRNAs for β-amyloid precursor protein and ubiquitin B. Neurobiology of Aging. 26(2). 145–155. 19 indexed citations
8.
Hol, Elly M., Lisya Gerez, Jacqueline A. Sluijs, et al.. (2003). Frameshifted β-Amyloid Precursor Protein (APP+1) Is a Secretory Protein, and the Level of APP+1 in Cerebrospinal Fluid Is Linked to Alzheimer Pathology. Journal of Biological Chemistry. 278(41). 39637–39643. 12 indexed citations
9.
Motley, Alison M., Pedro Brites, Lisya Gerez, et al.. (2002). Mutational Spectrum in the PEX7 Gene and Functional Analysis of Mutant Alleles in 78 Patients with Rhizomelic Chondrodysplasia Punctata Type 1. The American Journal of Human Genetics. 70(3). 612–624. 70 indexed citations
10.
Leeuwen, F.W. van, Lisya Gerez, Rob Benne, & Elly M. Hol. (2002). +1 Proteins and aging. The International Journal of Biochemistry & Cell Biology. 34(11). 1502–1505. 15 indexed citations
11.
Mohrmann, Karin, Richtje Leijendekker, Lisya Gerez, & Peter van der Sluijs. (2002). rab4 Regulates Transport to the Apical Plasma Membrane in Madin-Darby Canine Kidney Cells. Journal of Biological Chemistry. 277(12). 10474–10481. 35 indexed citations
12.
Nagelkerken, Bas, Karin Mohrmann, Lisya Gerez, et al.. (1997). A novel epitope tag for the detection of rabGTPases. Electrophoresis. 18(14). 2694–2698. 10 indexed citations
14.
Kaempfer, Raymond, et al.. (1996). Prediction of response to treatment in superficial bladder carcinoma through pattern of interleukin-2 gene expression.. Journal of Clinical Oncology. 14(6). 1778–1786. 79 indexed citations
15.
Arad, Gila, et al.. (1995). Transient expression of human interleukin-2 and interferon-γ genes is regulated by interaction between distinct cell subsets. Cellular Immunology. 160(2). 240–247. 10 indexed citations
16.
Gerez, Lisya, et al.. (1995). Post-transcriptional Regulation of Human Interleukin-2 Gene Expression at Processing of Precursor Transcripts. Journal of Biological Chemistry. 270(33). 19569–19575. 28 indexed citations
17.
Gerez, Lisya, Tamar Shkolnik, Batya Kristal, et al.. (1991). Regulation of interleukin-2 and interferon-γ gene expression in renal failure. Kidney International. 40(2). 266–272. 25 indexed citations
18.
Efrat, Shimon, et al.. (1991). Regulation of Human Interleukin‐2 and Interferon‐Gamma Gene Expression by Suppressor T Lymphocytes. Scandinavian Journal of Immunology. 33(5). 593–605. 9 indexed citations
19.
Gerez, Lisya, et al.. (1991). Aberrant regulation of interleukin-2 but not of interferon-γ gene expression in Down syndrome (trisomy 21). Clinical Immunology and Immunopathology. 58(2). 251–266. 24 indexed citations
20.
Arad, Gila, et al.. (1990). The potential to express or suppress human interleukin-2 and interferon-γ genes is not restricted to distinct cell subsets. Molecular Immunology. 27(12). 1325–1330. 1 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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