Yonit Wiener‐Well

3.0k total citations · 2 hit papers
60 papers, 1.6k citations indexed

About

Yonit Wiener‐Well is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Yonit Wiener‐Well has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 26 papers in Infectious Diseases and 12 papers in Surgery. Recurrent topics in Yonit Wiener‐Well's work include Antibiotic Resistance in Bacteria (11 papers), Urinary Tract Infections Management (8 papers) and Bacterial Identification and Susceptibility Testing (8 papers). Yonit Wiener‐Well is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Urinary Tract Infections Management (8 papers) and Bacterial Identification and Susceptibility Testing (8 papers). Yonit Wiener‐Well collaborates with scholars based in Israel, United States and Germany. Yonit Wiener‐Well's co-authors include Amos M. Yinnon, Marc V. Assous, Bernard Rudensky, Tamar Lachish, Yechiel Schlesinger, Eli Ben‐Chetrit, David Raveh, Tali Bdolah‐Abram, Michal Chowers and Bibiana Chazan and has published in prestigious journals such as Blood, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Yonit Wiener‐Well

56 papers receiving 1.6k citations

Hit Papers

Diagnosis of Imported Monkeypox, Israel, 2018 2019 2026 2021 2023 2019 2021 100 200 300

Peers

Yonit Wiener‐Well
Comparison fields: 5 of 111
  • Epidemiology 628
  • Infectious Diseases 582
  • Molecular Medicine 373
  • Molecular Biology 327
  • Virology 295
Replace Sorana Segal‐Maurer with:
Sorana Segal‐Maurer United States
Halis Akalın Türkiye
Matthieu Lafaurie France
Sasheela Ponnampalavanar Malaysia
F. Lucht France
Susan Shin‐Jung Lee Taiwan
Priscilla Rupali India
Kinh Van Nguyen Vietnam
Aristine Cheng Taiwan
Yao-Shen Chen Taiwan
Sorana Segal‐Maurer United States View profile →
Citations per field, relative to Yonit Wiener‐Well
Yonit Wiener‐Well · 1×
Citations per year, relative to Yonit Wiener‐Well
Yonit Wiener‐Well · 1×

Countries citing papers authored by Yonit Wiener‐Well

Since Specialization
Citations

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

Fields of papers citing papers by Yonit Wiener‐Well

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yonit Wiener‐Well. 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 Yonit Wiener‐Well. The network helps show where Yonit Wiener‐Well may publish in the future.

Co-authorship network of co-authors of Yonit Wiener‐Well

This figure shows the co-authorship network connecting the top 25 collaborators of Yonit Wiener‐Well. A scholar is included among the top collaborators of Yonit Wiener‐Well 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 Yonit Wiener‐Well. Yonit Wiener‐Well 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
# Work Indexed citations
1 3
2 5
3 1
4 25
5 2
6 0
7
Diagnosis of Imported Monkeypox, Israel, 2018 breakdown →
302
8 29
9
The Risk of Developing Tuberculosis in Cancer Patients Is Greatest in Lymphoma: A Large Population-Based Study
1
10 36
11 2
12 5
13 52
14 8
15 37
16 0
17 15
18 138
19 13
20 56

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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