I. Lavi

22 papers receiving 1.0k citations

Peers

I. Lavi
Comparison fields: 5 of 103
  • Applied Microbiology and Biotechnology 32
  • Urology 81
  • Hematology 101
  • Epidemiology 246
  • Rheumatology 103
Replace Zeynep Birsin Özçakar with:
Zeynep Birsin Özçakar Türkiye
B. de Wazières France
Hefziba Green Israel
Duane M. Ilstrup United States
Leslie S.T. Fang United States
Shachaf Shiber Israel
Ali Bahador Iran
Alexander Mackenzie United States
Mark D. Sawyer United States
Mick Arber United Kingdom
I. Lavi relative to Zeynep Birsin Özçakar Türkiye Zeynep Birsin Özçakar's profile →
Citations per field
00.5×2.9×
Zeynep Birsin Özçakar · 1×
Citations per year

Countries citing papers authored by I. Lavi

Since Specialization
Citations

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

Fields of papers citing papers by I. Lavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001331
2 2002171
3 201184
4 200875
5
Thrombophilic factors and their relation to thromboembolic and other clinical manifestations in Behçet's disease.
199971
6 200358
7 200145
8 200140
9 200932
10 200530
11 201725
12 201023
13
Demographic characteristics of patients with community-acquired bacteriuria and susceptibility of urinary pathogens to antimicrobials in northern Israel.
200023
14 201121
15 200813
16 201412
17 200012
18 200211
19 20243
20 20181

About I. Lavi

I. Lavi is a scholar working on Epidemiology, Rheumatology, Oncology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (3 papers), Spondyloarthritis Studies and Treatments (3 papers), Urinary Tract Infections Management (3 papers), Antibiotic Use and Resistance (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Patient Safety and Medication Errors (1 paper) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (32 citations), Urology (81 citations), Hematology (101 citations), Epidemiology (246 citations) and Rheumatology (103 citations). I. Lavi has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Raanan Raz, Naiel Bisharat, Hussam Omari, Reuven Mader, Gad Rennert, Naomi Gronich, Yoram Kennes, Bibiana Chazan, Raul Colodner and Walter E. Stamm. Their work appears in journals such as Annals of the Rheumatic Diseases, Infection, Journal of the European Academy of Dermatology and Venereology, Dermatology and Diabetic Medicine.

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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