Lilac Tene

1.2k total citations
10 papers, 272 citations indexed

About

Lilac Tene is a scholar working on Infectious Diseases, Health and Neurology. According to data from OpenAlex, Lilac Tene has authored 10 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Health and 2 papers in Neurology. Recurrent topics in Lilac Tene's work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and Vaccine Coverage and Hesitancy (3 papers). Lilac Tene is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and Vaccine Coverage and Hesitancy (3 papers). Lilac Tene collaborates with scholars based in Israel, United States and Switzerland. Lilac Tene's co-authors include Gabriel Chodick, Sivan Gazit, Dani Cohen, Khitam Muhsen, Amir Ben‐Tov, Tal Patalon, Inbal Goldshtein, Gilad Twig, Clara Weil and Ran S. Rotem and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Lilac Tene

8 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lilac Tene Israel	5	202	107	56	44	30	10	272
Borscha Azmi United Kingdom	7	213 1.1×	97 0.9×	76 1.4×	35 0.8×	29 1.0×	12	280
Hussam Kawas Qatar	3	184 0.9×	77 0.7×	54 1.0×	40 0.9×	24 0.8×	3	257
Karine Beiruti Wiegler Israel	6	245 1.2×	65 0.6×	42 0.8×	103 2.3×	51 1.7×	19	340
Ahamed Lazim Vattoth Qatar	5	160 0.8×	76 0.7×	54 1.0×	32 0.7×	23 0.8×	7	243
Aidan Irwin-Singer United Kingdom	7	239 1.2×	92 0.9×	92 1.6×	38 0.9×	30 1.0×	9	296
Maiada K. Hashem Egypt	8	136 0.7×	68 0.6×	31 0.6×	101 2.3×	56 1.9×	13	236
Uzma Ishaq Pakistan	9	113 0.6×	53 0.5×	25 0.4×	47 1.1×	27 0.9×	24	256
Sarah Reda Germany	6	208 1.0×	112 1.0×	62 1.1×	43 1.0×	38 1.3×	10	321
Ariany Marques Vieira Canada	6	117 0.6×	58 0.5×	34 0.6×	23 0.5×	15 0.5×	14	234

Countries citing papers authored by Lilac Tene

Since Specialization

Citations

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

Fields of papers citing papers by Lilac Tene

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lilac Tene

This figure shows the co-authorship network connecting the top 25 collaborators of Lilac Tene. A scholar is included among the top collaborators of Lilac Tene 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 Lilac Tene. Lilac Tene 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

Weil, Clara, Lilac Tene, Gabriel Chodick, et al.. (2024). Outcomes and Healthcare Resource Utilization in Patients with COVID-19 Treated with Nirmatrelvir–Ritonavir: Real-World Data Analysis. Journal of Clinical Medicine. 13(20). 6091–6091.

Chodick, Gabriel, Lilac Tene, Yotam Bronstein, et al.. (2023). COVID-19 Breakthrough Infections in Vaccinated Patients With CLL in Israel. HemaSphere. 7(2). e839–e839. 1 indexed citations

Weil, Clara, et al.. (2023). Real-World Utilization of Molnupiravir during the COVID-19 Omicron Surge in Israel. SHILAP Revista de lepidopterología. 4(3). 309–321.

Tene, Lilac, Avraham Karasik, Gabriel Chodick, et al.. (2023). Iron deficiency and the effectiveness of the BNT162b2 vaccine for SARS-CoV-2 infection: A retrospective, longitudinal analysis of real-world data. PLoS ONE. 18(5). e0285606–e0285606. 3 indexed citations

Tene, Lilac, et al.. (2022). Risk factors, health outcomes, healthcare services utilization, and direct medical costs of patients with long COVID. International Journal of Infectious Diseases. 128. 3–10. 40 indexed citations

Tene, Lilac, et al.. (2022). 79. Long-term Health Outcomes of Individuals who are Infected with SARS-CoV-2 and Develop COVID-19. Open Forum Infectious Diseases. 9(Supplement_2). 1 indexed citations

Chodick, Gabriel, Lilac Tene, Tal Patalon, et al.. (2021). Assessment of Effectiveness of 1 Dose of BNT162b2 Vaccine for SARS-CoV-2 Infection 13 to 24 Days After Immunization. JAMA Network Open. 4(6). e2115985–e2115985. 88 indexed citations

Chodick, Gabriel, Lilac Tene, Tal Patalon, et al.. (2021). The Effectiveness of the First Dose of BNT162b2 Vaccine in Reducing SARS-CoV-2 Infection: Real-World Evidence. SSRN Electronic Journal. 4 indexed citations

Chodick, Gabriel, Lilac Tene, Ran S. Rotem, et al.. (2021). The Effectiveness of the Two-Dose BNT162b2 Vaccine: Analysis of Real-World Data. Clinical Infectious Diseases. 74(3). 472–478. 124 indexed citations

10.

Gepner, Yftach, Ilan Shelef, Dan Schwarzfuchs, et al.. (2017). Intramyocellular triacylglycerol accumulation across weight loss strategies; Sub-study of the CENTRAL trial. PLoS ONE. 12(11). e0188431–e0188431. 11 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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