Vered Agmon

1.3k citations
25 papers · 1.0k · h-index 14

Impact in

Papers in

Vered Agmon

23 papers receiving 973 citations

Peers

Vered Agmon
Comparison fields: 5 of 84
  • Endocrinology 401
  • Food Science 473
  • Molecular Medicine 106
  • Industrial and Manufacturing Engineering 100
  • Infectious Diseases 184
Replace Cristóbal Cháidez with:
Cristóbal Cháidez Mexico
Luis Collado Chile
Jalusa Deon Kich Brazil
Christiane Höller Germany
Annamari Heikinheimo Finland
M. Papapetropoulou Greece
Lilian H. Lam United States
Maria del Mar Lleò Italy
Alba Pérez‐Cataluña Spain
Maria Carla Tafi Italy
Vered Agmon relative to Cristóbal Cháidez Mexico Cristóbal Cháidez's profile →
Citations per field
00.5×1.5×2.5×
Cristóbal Cháidez · 1×
Citations per year

Countries citing papers authored by Vered Agmon

Since Specialization
Citations

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

Fields of papers citing papers by Vered Agmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999241
2 2013149
3 1999147
4 2014115
5 201067
6 202036
7 200835
8 201830
9 201826
10 201824
11 201324
12 201617
13 201916
14 201414
15 202012
16 201911
17 200410
18 20189
19 20168
20
Salmonella enterica outbreak in a banqueting hall in Jerusalem: the unseen hand of the epidemiological triangle?
20097

About Vered Agmon

Vered Agmon is a scholar working on Food Science, Infectious Diseases, Endocrinology, Molecular Medicine and Nutrition and Dietetics, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (10 papers), Vibrio bacteria research studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Infections and Vaccines (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Trace Elements in Health (2 papers) and Listeria monocytogenes in Food Safety (2 papers). The work is most often cited by research in Endocrinology (401 citations), Food Science (473 citations), Molecular Medicine (106 citations), Industrial and Manufacturing Engineering (100 citations) and Infectious Diseases (184 citations). Vered Agmon has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Miriam Weinberger, Lea Valinsky, Larisa Lerner, Ohad Gal‐Mor, Raul Raz, J. J. Farmer, Naiel Bisharat, Raul Colodner, Soboh Soboh and David L. Swerdlow. Their work appears in journals such as Emerging infectious diseases, PLoS ONE, Water Research, Journal of Clinical Microbiology and Foodborne Pathogens and Disease.

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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