Yotam E. Bar‐Ephraïm

1.3k total citations · 1 hit paper
8 papers, 537 citations indexed

About

Yotam E. Bar‐Ephraïm is a scholar working on Immunology, Surgery and Infectious Diseases. According to data from OpenAlex, Yotam E. Bar‐Ephraïm has authored 8 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Surgery and 2 papers in Infectious Diseases. Recurrent topics in Yotam E. Bar‐Ephraïm's work include IL-33, ST2, and ILC Pathways (4 papers), Immune Cell Function and Interaction (4 papers) and Eosinophilic Esophagitis (3 papers). Yotam E. Bar‐Ephraïm is often cited by papers focused on IL-33, ST2, and ILC Pathways (4 papers), Immune Cell Function and Interaction (4 papers) and Eosinophilic Esophagitis (3 papers). Yotam E. Bar‐Ephraïm collaborates with scholars based in Netherlands, Switzerland and Italy. Yotam E. Bar‐Ephraïm's co-authors include Hans Clevers, Kai Kretzschmar, Reina E. Mebius, Tanja Konijn, Rogier M. Reijmers, Yorick Post, Helmuth Gehart, Rachel Kalmann, Jeroen Korving and Harry Begthel and has published in prestigious journals such as Nature reviews. Immunology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Yotam E. Bar‐Ephraïm

8 papers receiving 532 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Organoids in immunological research

2019 250 citations Yotam E. Bar‐Ephraïm, Kai Kretzschmar et al. Nature reviews. Immunology profile →

Peers

Yotam E. Bar‐Ephraïm

IMMUN

ONCOL

MB

BE

SURGE

Marina Agozzino Italy

Jason E. Ekert United States

Corrine Quirk United States

Jan-Dirk Häeger Germany

Barbara Kronsteiner United Kingdom

Luísa Saraiva United Kingdom

E. Ashley Dozier United States

Thomas J. Hayman United States

Deeksha Deep United States

Andrew Medvec United States

Marina Agozzino Italy

Yotam E. Bar‐Ephraïm

91 ×0.4

IMMUN

211 ×1.2

ONCOL

69 ×0.5

MB

94 ×0.9

BE

53 ×0.5

SURGE

Citations per year, relative to Yotam E. Bar‐Ephraïm Yotam E. Bar‐Ephraïm (= 1×) peers Marina Agozzino

Countries citing papers authored by Yotam E. Bar‐Ephraïm

Since Specialization

Citations

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

Fields of papers citing papers by Yotam E. Bar‐Ephraïm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yotam E. Bar‐Ephraïm. 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 Yotam E. Bar‐Ephraïm. The network helps show where Yotam E. Bar‐Ephraïm may publish in the future.

Co-authorship network of co-authors of Yotam E. Bar‐Ephraïm

This figure shows the co-authorship network connecting the top 25 collaborators of Yotam E. Bar‐Ephraïm. A scholar is included among the top collaborators of Yotam E. Bar‐Ephraïm 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 Yotam E. Bar‐Ephraïm. Yotam E. Bar‐Ephraïm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Balneger, Natasja, Lenneke A. M. Cornelissen, Melissa Wassink, et al.. (2022). Sialic acid blockade in dendritic cells enhances CD8+ T cell responses by facilitating high-avidity interactions. Cellular and Molecular Life Sciences. 79(2). 98–98. 28 indexed citations

2.

Bannier-Hélaouët, Marie, Yorick Post, Jeroen Korving, et al.. (2021). Exploring the human lacrimal gland using organoids and single-cell sequencing. Cell stem cell. 28(7). 1221–1232.e7. 86 indexed citations

3.

Bar‐Ephraïm, Yotam E., Kai Kretzschmar, & Hans Clevers. (2019). Organoids in immunological research. Nature reviews. Immunology. 20(5). 279–293. 250 indexed citations breakdown →

4.

Bar‐Ephraïm, Yotam E., Jasper J. Koning, Tanja Konijn, et al.. (2018). CD62L Is a Functional and Phenotypic Marker for Circulating Innate Lymphoid Cell Precursors. The Journal of Immunology. 202(1). 171–182. 40 indexed citations

5.

Bar‐Ephraïm, Yotam E., Ferry Cornelissen, Natalie Papazian, et al.. (2017). Cross-Tissue Transcriptomic Analysis of Human Secondary Lymphoid Organ-Residing ILC3s Reveals a Quiescent State in the Absence of Inflammation. Cell Reports. 21(3). 823–833. 33 indexed citations

6.

Bar‐Ephraïm, Yotam E., et al.. (2016). A Reproducible Method for Isolation and In Vitro Culture of Functional Human Lymphoid Stromal Cells from Tonsils. PLoS ONE. 11(12). e0167555–e0167555. 16 indexed citations

7.

Bar‐Ephraïm, Yotam E. & Reina E. Mebius. (2016). Innate lymphoid cells in secondary lymphoid organs. Immunological Reviews. 271(1). 185–199. 58 indexed citations

8.

Souwer, Yuri, Alexander Griekspoor, Jelle de Wit, et al.. (2012). Selective Infection of Antigen-Specific B Lymphocytes by Salmonella Mediates Bacterial Survival and Systemic Spreading of Infection. PLoS ONE. 7(11). e50667–e50667. 26 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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