Hanoch Goldshmidt

674 total citations
19 papers, 407 citations indexed

About

Hanoch Goldshmidt is a scholar working on Epidemiology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Hanoch Goldshmidt has authored 19 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Hanoch Goldshmidt's work include Trypanosoma species research and implications (7 papers), Genetic factors in colorectal cancer (4 papers) and Cancer Genomics and Diagnostics (4 papers). Hanoch Goldshmidt is often cited by papers focused on Trypanosoma species research and implications (7 papers), Genetic factors in colorectal cancer (4 papers) and Cancer Genomics and Diagnostics (4 papers). Hanoch Goldshmidt collaborates with scholars based in Israel, United States and Austria. Hanoch Goldshmidt's co-authors include Shulamit Michaeli, Yaniv Lustig, Shai Uliel, Shai Carmi, Devorah Matas, Lilach Sheiner, Bruria Ben‐Zeev, Yair Anikster, Adi Tabib and Yoram Nevo and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Cell Science.

In The Last Decade

Hanoch Goldshmidt

17 papers receiving 406 citations

Peers

Hanoch Goldshmidt
Delu Zhou United States
Cora Verhagen Netherlands
E.G. Zappi United States
T Liu China
Yuzhen Pan United States
Hanoch Goldshmidt
Citations per year, relative to Hanoch Goldshmidt Hanoch Goldshmidt (= 1×) peers Cristina Mazzon

Countries citing papers authored by Hanoch Goldshmidt

Since Specialization
Citations

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

Fields of papers citing papers by Hanoch Goldshmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanoch Goldshmidt

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

All Works

19 of 19 papers shown
1.
Habot‐Wilner, Zohar, Dinah Zur, Shulamit Schwartz, et al.. (2025). Metagenomic next-generation sequencing: a game-changer in the diagnosis of unique intraocular infections. Eye. 39(18). 3365–3371.
2.
Carobene, Anna, Janne Cadamuro, Glynis Frans, et al.. (2025). EFLM checklist for the assessment of AI/ML studies in laboratory medicine: enhancing general medical AI frameworks for laboratory-specific applications. Clinical Chemistry and Laboratory Medicine (CCLM). 64(1). 27–40.
3.
Tauman, Riva, Oryan Henig, Michael A. Grandner, et al.. (2024). Relationship among sleep, work features, and SARS-cov-2 vaccine antibody response in hospital workers. Sleep Medicine. 116. 90–95. 1 indexed citations
4.
Saiag, Esther, Ayelet Grupper, Irit Avivi, et al.. (2022). The effect of a third-dose BNT162b2 vaccine on anti-SARS-CoV-2 antibody levels in immunosuppressed patients. Clinical Microbiology and Infection. 28(5). 735.e5–735.e8. 15 indexed citations
5.
Adler, Amos, Ora Halutz, Yael Paran, et al.. (2021). An outbreak of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infections among hospital personnel with high mRNA vaccine uptake. Infection Control and Hospital Epidemiology. 44(1). 114–117. 2 indexed citations
6.
Amikam, Uri, Eran Ashwal‏, Emmanuel Attali, et al.. (2021). The association of maternal SARS‐CoV‐2 vaccination‐to‐delivery interval and the levels of maternal and cord blood antibodies. International Journal of Gynecology & Obstetrics. 156(3). 436–443. 9 indexed citations
7.
Zick, Aviad, Tamar Peretz, Michal Lotem, et al.. (2017). Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients. Medicine. 96(20). e6931–e6931. 3 indexed citations
8.
Zick, Aviad, Tamar Peretz, Michal Lotem, et al.. (2016). Treatment inferred from mutations identified using massive parallel sequencing leads to clinical benefit in some heavily pretreated cancer patients. Annals of Oncology. 27. vi26–vi26. 1 indexed citations
9.
Ben‐Zeev, Bruria, Adi Tabib, Andreea Nissenkorn, et al.. (2015). Devastating recurrent brain ischemic infarctions and retinal disease in pediatric patients with CD59 deficiency. European Journal of Paediatric Neurology. 19(6). 688–693. 18 indexed citations
10.
Goldberg, Yael, Israela Lerer, Naama Halpern, et al.. (2014). Genetic features of Lynch syndrome in the Israeli population. Clinical Genetics. 87(6). 549–553. 9 indexed citations
11.
Goldberg, Yael, Inbal Kedar, Naama Halpern, et al.. (2013). Lynch Syndrome in high risk Ashkenazi Jews in Israel. Familial Cancer. 13(1). 65–73. 16 indexed citations
12.
Nevo, Yoram, Bruria Ben‐Zeev, Adi Tabib, et al.. (2012). CD59 deficiency is associated with chronic hemolysis and childhood relapsing immune-mediated polyneuropathy. Blood. 121(1). 129–135. 111 indexed citations
13.
Goldshmidt, Hanoch & Shulamit Michaeli. (2011). Induction of ER Stress Response Leading to Programmed Cell Death in Trypanosoma brucei. Methods in enzymology on CD-ROM/Methods in enzymology. 489. 189–205. 3 indexed citations
14.
Goldshmidt, Hanoch, et al.. (2010). Persistent ER Stress Induces the Spliced Leader RNA Silencing Pathway (SLS), Leading to Programmed Cell Death in Trypanosoma brucei. PLoS Pathogens. 6(1). e1000731–e1000731. 73 indexed citations
15.
Goldshmidt, Hanoch, Lilach Sheiner, Peter Bütikofer, et al.. (2008). Role of Protein Translocation Pathways across the Endoplasmic Reticulum in Trypanosoma brucei. Journal of Biological Chemistry. 283(46). 32085–32098. 29 indexed citations
16.
Goldshmidt, Hanoch, et al.. (2008). Trypanosome Spliced-Leader-Associated RNA (SLA1) Localization and Implications for Spliced-Leader RNA Biogenesis. Eukaryotic Cell. 8(1). 56–68. 24 indexed citations
17.
Lustig, Yaniv, Lilach Sheiner, Yaron Vagima, et al.. (2007). Spliced‐leader RNA silencing: a novel stress‐induced mechanism in Trypanosoma brucei. EMBO Reports. 8(4). 408–413. 43 indexed citations
18.
Lustig, Yaniv, Yaron Vagima, Hanoch Goldshmidt, et al.. (2007). Down-Regulation of the Trypanosomatid Signal Recognition Particle Affects the Biogenesis of Polytopic Membrane Proteins but Not of Signal Peptide-Containing Proteins. Eukaryotic Cell. 6(10). 1865–1875. 16 indexed citations
19.
Lustig, Yaniv, Hanoch Goldshmidt, Shai Uliel, & Shulamit Michaeli. (2005). The Trypanosoma brucei signal recognition particle lacks the Alu-domain-binding proteins: purification and functional analysis of its binding proteins by RNAi. Journal of Cell Science. 118(19). 4551–4562. 34 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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