Zehava Eichenbaum

1.5k citations
37 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Zehava Eichenbaum

36 papers receiving 1.1k citations

Peers

Zehava Eichenbaum
Comparison fields: 5 of 91
  • Infectious Diseases 369
  • Public Health, Environmental and Occupational Health 446
  • Endocrinology 69
  • Molecular Medicine 63
  • Microbiology 72
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Gleb Pishchany United States
Andrew H. Gaspar United States
Alex Chao United States
Allison J. Farrand United States
Miguel Vargas Mexico
Cesira L. Galeotti Italy
Shaun W. Lee United States
Tamás Henics Austria
Ho‐Ching Tiffany Tsui United States
Ben R. Otto Netherlands
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Citations per year

Countries citing papers authored by Zehava Eichenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Zehava Eichenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998142
2 2003125
3 199887
4 199681
5 200865
6 200558
7 199654
8 202054
9 201052
10 201842
11 200836
12 201033
13 200933
14 199829
15 202026
16 201323
17 201322
18 201120
19 202217
20 199717

About Zehava Eichenbaum

Zehava Eichenbaum is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (22 papers), Neonatal and Maternal Infections (13 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Neonatal Health and Biochemistry (9 papers), Bacterial Genetics and Biotechnology (5 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Pneumonia and Respiratory Infections (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Infectious Diseases (369 citations), Public Health, Environmental and Occupational Health (446 citations), Endocrinology (69 citations), Molecular Medicine (63 citations) and Microbiology (72 citations). Zehava Eichenbaum has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include June R. Scott, Zvi Livneh, Kevin S. McIver, Charles R. Woods, Michael J. Federle, Willem M. de Vos, Michiel Kleerebezem, Oscar P. Kuipers, Eric Muller and Stephen A. Morse. Their work appears in journals such as Infection and Immunity, Molecular Microbiology, Frontiers in Cellular and Infection Microbiology, Genetics and The Journal of Infectious Diseases.

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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