Ziv Erlich

540 total citations
10 papers, 400 citations indexed

About

Ziv Erlich is a scholar working on Immunology, Molecular Biology and Information Systems. According to data from OpenAlex, Ziv Erlich has authored 10 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Ziv Erlich's work include Phagocytosis and Immune Regulation (3 papers), Cell death mechanisms and regulation (2 papers) and Software Engineering Research (2 papers). Ziv Erlich is often cited by papers focused on Phagocytosis and Immune Regulation (3 papers), Cell death mechanisms and regulation (2 papers) and Software Engineering Research (2 papers). Ziv Erlich collaborates with scholars based in Israel, United States and Brazil. Ziv Erlich's co-authors include Liat Edry‐Botzer, Inbar Shlomovitz, Motti Gerlic, Ben A. Croker, Neta Regev‐Rudzki, Yifat Ofir‐Birin, Hadar Cohen, Mary Speir, Ariel Munitz and Kate E. Lawlor and has published in prestigious journals such as Nature Immunology, PLoS Biology and Cell Death and Disease.

In The Last Decade

Ziv Erlich

10 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ziv Erlich Israel	7	240	203	50	40	39	10	400
Andreas Koenig United States	12	261 1.1×	238 1.2×	66 1.3×	50 1.3×	45 1.2×	21	526
Satoshi Yotsumoto Japan	14	158 0.7×	347 1.7×	36 0.7×	32 0.8×	49 1.3×	24	536
J Zienkiewicz United States	13	190 0.8×	170 0.8×	116 2.3×	52 1.3×	25 0.6×	30	525
Rama D. Yammani United States	11	188 0.8×	151 0.7×	42 0.8×	17 0.4×	42 1.1×	17	432
Stephanie Wickham United States	11	164 0.7×	100 0.5×	87 1.7×	36 0.9×	28 0.7×	13	404
Xiaofang Xiong United States	11	191 0.8×	150 0.7×	42 0.8×	49 1.2×	21 0.5×	27	408
Nathalia Moraes de Vasconcelos Belgium	6	321 1.3×	144 0.7×	54 1.1×	15 0.4×	16 0.4×	6	426
Jocelyn Wang United States	13	156 0.7×	298 1.5×	50 1.0×	27 0.7×	17 0.4×	22	564
Yingying Zhao China	12	185 0.8×	92 0.5×	65 1.3×	60 1.5×	20 0.5×	27	379
Zarema Albakova Russia	9	313 1.3×	83 0.4×	28 0.6×	34 0.8×	23 0.6×	11	399

Countries citing papers authored by Ziv Erlich

Since Specialization

Citations

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

Fields of papers citing papers by Ziv Erlich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziv Erlich

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

All Works

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10 of 10 papers shown

1.

Shlomovitz, Inbar, Ziv Erlich, Gali Arad, et al.. (2021). Proteomic analysis of necroptotic extracellular vesicles. Cell Death and Disease. 12(11). 1059–1059. 37 indexed citations

2.

Erlich, Ziv, Inbar Shlomovitz, Liat Edry‐Botzer, et al.. (2019). Macrophages, rather than DCs, are responsible for inflammasome activity in the GM-CSF BMDC model. Nature Immunology. 20(4). 397–406. 82 indexed citations

3.

Shlomovitz, Inbar, et al.. (2018). Distinguishing Necroptosis from Apoptosis. Methods in molecular biology. 1857. 35–51. 12 indexed citations

4.

Shlomovitz, Inbar, Ziv Erlich, Mary Speir, et al.. (2018). Necroptosis directly induces the release of full‐length biologically active IL‐33 in vitro and in an inflammatory disease model. FEBS Journal. 286(3). 507–522. 75 indexed citations

5.

Shlomovitz, Inbar, Ziv Erlich, Yifat Ofir‐Birin, et al.. (2017). Phosphatidylserine externalization, “necroptotic bodies” release, and phagocytosis during necroptosis. PLoS Biology. 15(6). e2002711–e2002711. 153 indexed citations

6.

Silberman, Alon, et al.. (2016). The Anticancer Activity of Organotelluranes: Potential Role in Integrin Inactivation. ChemBioChem. 17(10). 918–927. 21 indexed citations

7.

Erlich, Ziv, Yiftach Frenkel, Jonathan Drori, et al.. (2014). Optical Study of Tetragonal Domains in LaAlO3/SrTiO3. Journal of Superconductivity and Novel Magnetism. 28(3). 1017–1020. 15 indexed citations

8.

Berry, Daniel M., Ziv Erlich, & Carlos Lucena. (1977). Pointers and data abstractions in high level languages—I: Language proposals. Computer Languages. 2(4). 135–148. 2 indexed citations

9.

Berry, Daniel M., Ziv Erlich, & Carlos Lucena. (1976). Correctness of Data Representations: Pointers in High Level Languages.. Genes. 10(10). 115–119. 2 indexed citations

10.

Berry, Daniel M., Ziv Erlich, & Carlos Lucena. (1976). Correctness of data representations (Extended Abstract). 115–119. 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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