Lea Valinsky

2.4k citations
72 papers · 1.7k indexed · h-index 25

Lea Valinsky

68 papers receiving 1.6k citations

Peers

Lea Valinsky
Comparison fields: 5 of 104
  • Endocrinology 498
  • Molecular Medicine 179
  • Food Science 526
  • Infectious Diseases 526
  • Clinical Biochemistry 123
Replace Doreene R. Hyatt with:
Doreene R. Hyatt United States
Changyun Ye China
Martin J. Sergeant United Kingdom
Marianne Nielsine Skov Denmark
Cátia Vaz Portugal
Eija Trees United States
Oksana Lukjančenko Denmark
Valeria R. Parreira Canada
Nellie B. Dumas United States
Amy V. Jennison Australia
Lea Valinsky relative to Doreene R. Hyatt United States Doreene R. Hyatt's profile →
Citations per field
00.5×1.7×
Doreene R. Hyatt · 1×
Citations per year

Countries citing papers authored by Lea Valinsky

Since Specialization
Citations

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

Fields of papers citing papers by Lea Valinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20237
3 20230
4 202036
5 201910
6 20197
7 201823
8 201717
9 20168
10 20155
11 20152
12 201318
13 201227
14 200913
15 200928
16 200921
17 200877
18 200716
19 200625
20 20064

About Lea Valinsky

Lea Valinsky is a scholar working on Endocrinology, Infectious Diseases, Molecular Medicine, Food Science and Microbiology, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (20 papers), Viral gastroenteritis research and epidemiology (12 papers), Streptococcal Infections and Treatments (11 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Pneumonia and Respiratory Infections (10 papers), Food Safety and Hygiene (9 papers), Vibrio bacteria research studies (8 papers) and Escherichia coli research studies (8 papers). The work is most often cited by research in Endocrinology (498 citations), Molecular Medicine (179 citations), Food Science (526 citations), Infectious Diseases (526 citations) and Clinical Biochemistry (123 citations). Lea Valinsky has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Vered Agmon, James Borneman, Miriam Weinberger, Jacob Moran‐Gilad, Assaf Rokney, Ohad Gal‐Mor, Galia Rahav, Bei Yin, Gianluca Della Vedova and Tao Jiang. Their work appears in journals such as Emerging infectious diseases, Epidemiology and Infection, Clinical Microbiology and Infection, Clinical Infectious Diseases and Applied and Environmental Microbiology.

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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