Eyal Zimlichman

565 total citations
29 papers, 352 citations indexed

About

Eyal Zimlichman is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Health Information Management. According to data from OpenAlex, Eyal Zimlichman has authored 29 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 8 papers in General Health Professions and 4 papers in Health Information Management. Recurrent topics in Eyal Zimlichman's work include Patient Satisfaction in Healthcare (3 papers), Healthcare Quality and Management (3 papers) and Health and Medical Research Impacts (2 papers). Eyal Zimlichman is often cited by papers focused on Patient Satisfaction in Healthcare (3 papers), Healthcare Quality and Management (3 papers) and Health and Medical Research Impacts (2 papers). Eyal Zimlichman collaborates with scholars based in Israel, United States and Canada. Eyal Zimlichman's co-authors include Yitshak Kreiss, Dror Mandel, Francis B. Mimouni, Tzippora Shochat, Ilan Kochba, Itamar Grotto, Amir Tirosh, David Pereg, Victor Novack and Yakov Goldich and has published in prestigious journals such as Annals of Internal Medicine, Fertility and Sterility and Addiction.

In The Last Decade

Eyal Zimlichman

27 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eyal Zimlichman Israel 10 65 63 52 46 39 29 352
Yanjie Huang United States 16 19 0.3× 54 0.9× 98 1.9× 104 2.3× 19 0.5× 32 541
Peggy Krause United States 15 44 0.7× 67 1.1× 24 0.5× 308 6.7× 11 0.3× 25 592
P. Reper Belgium 13 7 0.1× 33 0.5× 52 1.0× 138 3.0× 18 0.5× 25 577
Erica Anderson United States 7 49 0.8× 23 0.4× 338 6.5× 147 3.2× 31 0.8× 21 656
Sari Tal Israel 10 16 0.2× 40 0.6× 87 1.7× 172 3.7× 28 0.7× 24 411
Barney Isaac India 11 38 0.6× 15 0.2× 151 2.9× 55 1.2× 15 0.4× 40 391
M Alfaham United Kingdom 13 43 0.7× 64 1.0× 116 2.2× 80 1.7× 3 0.1× 25 638
Louise Hansen Denmark 11 166 2.6× 38 0.6× 188 3.6× 96 2.1× 79 2.0× 21 427
Qusay Haydour United States 11 176 2.7× 47 0.7× 149 2.9× 164 3.6× 18 0.5× 20 670
Minkyoung Yoo United States 12 25 0.4× 11 0.2× 238 4.6× 142 3.1× 33 0.8× 38 457

Countries citing papers authored by Eyal Zimlichman

Since Specialization
Citations

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

Fields of papers citing papers by Eyal Zimlichman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eyal Zimlichman

This figure shows the co-authorship network connecting the top 25 collaborators of Eyal Zimlichman. A scholar is included among the top collaborators of Eyal Zimlichman 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 Eyal Zimlichman. Eyal Zimlichman 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
2.
Regev‐Yochay, Gili, Ili Margalit, Ilana Tal, et al.. (2023). Sink-traps are a major source for carbapenemase-producing Enterobacteriaceae transmission. Infection Control and Hospital Epidemiology. 45(3). 284–291. 14 indexed citations
3.
Elitzur, Ramy, Dmitry Krass, & Eyal Zimlichman. (2023). Machine learning for optimal test admission in the presence of resource constraints. Health Care Management Science. 26(2). 279–300. 6 indexed citations
4.
Hod, Tammy, Liran Levy, Gadi Shlomai, et al.. (2023). Predictors and Adverse Outcomes of Acute Kidney Injury in Hospitalized Renal Transplant Recipients. Transplant International. 36. 11141–11141. 3 indexed citations
5.
Soffer, Shelly, Eyal Zimlichman, Matthew A. Levin, et al.. (2021). Machine learning to predict in‐hospital mortality among patients with severe obesity: Proof of concept study. Obesity Science & Practice. 8(4). 474–482. 3 indexed citations
6.
Zimlichman, Reuven, et al.. (2020). Influenza Vaccination Rate and Factors Associated With Compliance Among Health Care Employees in Large and Medium Acute Care Hospitals. American Journal of Medical Quality. 36(2). 115–121.
7.
Regev‐Yochay, Gili, Gill Smollan, Ilana Tal, et al.. (2018). Sink traps as the source of transmission of OXA-48–producing Serratia marcescens in an intensive care unit. Infection Control and Hospital Epidemiology. 39(11). 1307–1315. 44 indexed citations
8.
Hershkovich, Oded, David Gilad, Eyal Zimlichman, & Yitshak Kreiss. (2016). Effective medical leadership in times of emergency: a perspective. PubMed. 2(1). 4–4. 20 indexed citations
9.
Adler, Yehuda, et al.. (2015). ["The Talpiot medical leadership program"--advancing the brightest young physicians and researchers to fill future leadership roles].. PubMed. 154(2). 107–9, 136.
10.
Zimlichman, Eyal, et al.. (2014). Good prognosis for hospitalized SLE patients with non-related disease. Autoimmunity Reviews. 13(11). 1090–1093. 12 indexed citations
11.
Kopylov, Uri, Benjamin Avidan, Neofytos Papageorgiou, et al.. (2012). Idiopathic liver function test abnormality in pregnancy is associated with assisted reproduction techniques. Fertility and Sterility. 99(2). 377–381.e3. 5 indexed citations
12.
Gurevitz, Osnat, Alon Barsheshet, D. Bar-Lev, et al.. (2007). Tilt Training: Does It Have a Role in Preventing Vasovagal Syncope?. Pacing and Clinical Electrophysiology. 30(12). 1499–1505. 21 indexed citations
13.
Twig, Gilad, Alon Barsheshet, & Eyal Zimlichman. (2007). Epileptic seizure vs. myocardial infarction: the significance of cardiac troponin levels.. PubMed. 9(12). 889–90. 8 indexed citations
14.
Zimlichman, Eyal, Ilan Kochba, Francis B. Mimouni, et al.. (2005). Smoking habits and obesity in young adults. Addiction. 100(7). 1021–1025. 21 indexed citations
15.
Twig, Gilad, Eyal Zimlichman, Martine Szyper‐Kravitz, & Gisele Zandman‐Goddard. (2005). Recurrent and bilateral deep vein thrombosis in a Crohn's patient.. PubMed. 7(9). 612–3. 1 indexed citations
16.
Milgrom, Charles, Aharon S. Finestone, Victor Novack, et al.. (2004). The effect of prophylactic treatment with risedronate on stress fracture incidence among infantry recruits. Bone. 35(2). 418–424. 70 indexed citations
17.
Zimlichman, Eyal, Dror Mandel, Francis B. Mimouni, et al.. (2004). Smoking habits in adolescents with mild to moderate asthma. Pediatric Pulmonology. 38(3). 193–197. 18 indexed citations
18.
Mandel, Dror, Eyal Zimlichman, Francis B. Mimouni, Itamar Grotto, & Yitshak Kreiss. (2004). Height-Related Changes in Body Mass Index: A Reappraisal. Journal of the American College of Nutrition. 23(1). 51–54. 15 indexed citations
19.
Zimlichman, Eyal, et al.. (2003). Evaluating Delivery of Primary Health Care to Military Personnel during Low-Intensity Conflict Using a Patient Satisfaction Survey. Military Medicine. 168(6). 471–474. 9 indexed citations
20.
Mandel, Dror, et al.. (2003). Primary Care Clinic Size and Patient Satisfaction in a Military Setting. American Journal of Medical Quality. 18(6). 251–255. 3 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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