E. Segal

1.3k total citations · 1 hit paper
16 papers, 854 citations indexed

About

E. Segal is a scholar working on Infectious Diseases, Epidemiology and Food Science. According to data from OpenAlex, E. Segal has authored 16 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Epidemiology and 3 papers in Food Science. Recurrent topics in E. Segal's work include Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (4 papers) and Probiotics and Fermented Foods (3 papers). E. Segal is often cited by papers focused on Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (4 papers) and Probiotics and Fermented Foods (3 papers). E. Segal collaborates with scholars based in Israel, United States and United Kingdom. E. Segal's co-authors include Roded Sharan, Christopher S. Henry, Martin Kupiec, Eytan Ruppin, Shiri Freilich, Uri Gophna, Raphy Zarecki, Judith Berman, Richard J. Bennett and Arnaldo Lopes Colombo and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

E. Segal

16 papers receiving 847 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.

Competitive and cooperative metabolic interactions in bacterial communities

2011 392 citations Shiri Freilich, Raphy Zarecki et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
E. Segal Israel	8	401	319	245	151	137	16	854
Hans Georg Sahl Germany	8	363 0.9×	218 0.7×	210 0.9×	154 1.0×	55 0.4×	12	852
Vishwesh Mokashi United States	17	328 0.8×	154 0.5×	105 0.4×	215 1.4×	78 0.6×	28	777
Mor N. Lurie-Weinberger Israel	12	418 1.0×	171 0.5×	141 0.6×	171 1.1×	63 0.5×	27	695
Ole F. Rasmussen Denmark	10	515 1.3×	175 0.5×	147 0.6×	240 1.6×	155 1.1×	11	1.1k
Cynthia Maria Kyaw Brazil	15	601 1.5×	118 0.4×	77 0.3×	162 1.1×	85 0.6×	31	1.1k
Michael H. Holmes United States	7	407 1.0×	187 0.6×	161 0.7×	156 1.0×	177 1.3×	7	727
Adrián Ochoa‐Leyva Mexico	21	811 2.0×	135 0.4×	94 0.4×	364 2.4×	189 1.4×	67	1.7k
Daniel Prieto Spain	16	395 1.0×	486 1.5×	258 1.1×	49 0.3×	92 0.7×	38	860
Meghan E. Feltcher United States	9	387 1.0×	171 0.5×	122 0.5×	170 1.1×	831 6.1×	12	1.2k
Tom A. Mendum United Kingdom	19	382 1.0×	438 1.4×	343 1.4×	199 1.3×	134 1.0×	38	1.0k

Countries citing papers authored by E. Segal

Since Specialization

Citations

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

Fields of papers citing papers by E. Segal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Segal

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

All Works

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16 of 16 papers shown

Prasad, Smriti, et al.. (2025). Prediction of small‐for‐gestational age and fetal growth restriction at routine ultrasound examination at 35–37 weeks' gestation. Ultrasound in Obstetrics and Gynecology. 65(6). 761–770. 2 indexed citations

Neiger, Ran, et al.. (2024). Is Parity a Risk Factor for Late Preterm Birth? Results from a Large Cohort Study. Journal of Clinical Medicine. 13(2). 429–429. 1 indexed citations

Segal, E., et al.. (2024). The Implications of a “Flat” Oral Glucose Tolerance Test Curve in Pregnancy. American Journal of Perinatology. 42(4). 478–485. 2 indexed citations

Dybzinski, Ray, et al.. (2024). Calculating Nitrogen Uptake Rates in Forests: Which Components Can Be Omitted, Simplified, or Taken from Trait Databases and Which Must Be Measured In Situ?. Ecosystems. 27(5). 739–763. 1 indexed citations

Sabo, Peter J., Vahagn Makaryan, Dalia Elinger, et al.. (2022). Mutant allele knockout with novel CRISPR nuclease promotes myelopoiesis in ELANE neutropenia. Molecular Therapy — Methods & Clinical Development. 26. 119–131. 7 indexed citations

Schreiber, Sandra, E. Segal, Moshe Mevarech, et al.. (2020). Establishing Live-Cell Single-Molecule Localization Microscopy Imaging and Single-Particle Tracking in the Archaeon Haloferax volcanii. Frontiers in Microbiology. 11. 583010–583010. 22 indexed citations

Stone, Neil, Johanna Rhodes, Matthew C. Fisher, et al.. (2019). Dynamic ploidy changes drive fluconazole resistance in human cryptococcal meningitis. Journal of Clinical Investigation. 129(3). 999–1014. 116 indexed citations

Orenstein, Daniel E., et al.. (2019). Integrating ecological objectives in university campus strategic and spatial planning: a case study. International Journal of Sustainability in Higher Education. 20(2). 190–213. 21 indexed citations

Segal, E., Bhawna Yadav, Jacob L. Steenwyk, et al.. (2018). Gene Essentiality Analyzed by In Vivo Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of Candida albicans. mBio. 9(5). 101 indexed citations

10.

Rosenberg, Alexander J., Iuliana V. Ene, Maayan Bibi, et al.. (2018). Antifungal tolerance is a subpopulation effect distinct from resistance and is associated with persistent candidemia. Nature Communications. 9(1). 2470–2470. 169 indexed citations

11.

Zarecki, Raphy, Matthew Oberhardt, Keren Yizhak, et al.. (2014). Maximal Sum of Metabolic Exchange Fluxes Outperforms Biomass Yield as a Predictor of Growth Rate of Microorganisms. PLoS ONE. 9(5). e98372–e98372. 8 indexed citations

12.

Freilich, Shiri, Raphy Zarecki, E. Segal, et al.. (2011). Competitive and cooperative metabolic interactions in bacterial communities. Nature Communications. 2(1). 589–589. 392 indexed citations breakdown →

13.

Altboum, Zeev, E. Segal, & Gerald L. Baum. (1994). Genetic studies in Candida albicans.. 33–48. 2 indexed citations

14.

Romano, A., E. Segal, Reuven Stein, & E Eylan. (1975). Yeasts in Banal External Ocular Inflammations. Ophthalmologica. 170(1). 13–21. 7 indexed citations

15.

Segal, E., Nurith Vardinon, J. Schwartz, & E Eylan. (1975). Antigenic Relationships between <i>Candida albicans </i>and Various Yeasts as Reflected by Immunoglobulin-Class Specificity. Pathobiology. 42(1). 49–58. 2 indexed citations

16.

Segal, E. & E Eylan. (1973). Antigenic Relationship between the Fission-Yeast <i>Schizosaccharomyces pombe, </i>Ascosporogenous and Asporogenous Yeasts. Pathobiology. 39(2). 91–98. 1 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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