Tamar Sudry

442 total citations · 1 hit paper
7 papers, 252 citations indexed

About

Tamar Sudry is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Clinical Psychology. According to data from OpenAlex, Tamar Sudry has authored 7 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Clinical Psychology. Recurrent topics in Tamar Sudry's work include Infant Development and Preterm Care (5 papers), Neonatal Respiratory Health Research (4 papers) and Neonatal and fetal brain pathology (2 papers). Tamar Sudry is often cited by papers focused on Infant Development and Preterm Care (5 papers), Neonatal Respiratory Health Research (4 papers) and Neonatal and fetal brain pathology (2 papers). Tamar Sudry collaborates with scholars based in Israel and United States. Tamar Sudry's co-authors include Pinchas Akiva, Shirley Shapiro Ben David, Barak Mizrahi, Maytal Bivas‐Benita, Shira Greenfeld, Uri Lerner, Natalie Flaks‐Manov, Yoav Yehezkelli, Nir Kalkstein and Guy Amit and has published in prestigious journals such as PEDIATRICS, BMJ and JAMA Network Open.

In The Last Decade

Tamar Sudry

7 papers receiving 248 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.

Long covid outcomes at one year after mild SARS-CoV-2 infection: nationwide cohort study

2023 207 citations Barak Mizrahi, Tamar Sudry et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tamar Sudry Israel	5	175	101	80	41	41	7	252
Emma Dalrymple United Kingdom	9	176 1.0×	66 0.7×	107 1.3×	68 1.7×	59 1.4×	28	280
Mahtab Rostamihosseinkhani Iran	6	313 1.8×	140 1.4×	141 1.8×	48 1.2×	93 2.3×	11	388
Valentina Gerussi Italy	8	272 1.6×	252 2.5×	152 1.9×	50 1.2×	65 1.6×	15	440
Hesheng Zhang China	5	239 1.4×	234 2.3×	60 0.8×	58 1.4×	14 0.3×	11	315
Marc Rodrigo‐Gisbert Spain	6	145 0.8×	47 0.5×	54 0.7×	71 1.7×	12 0.3×	20	189
Lora Kahn United States	10	166 0.9×	92 0.9×	37 0.5×	23 0.6×	15 0.4×	17	278
Parneet Grewal United States	7	128 0.7×	60 0.6×	65 0.8×	25 0.6×	23 0.6×	20	244
Sukanthi Kovvuru United States	7	188 1.1×	97 1.0×	99 1.2×	23 0.6×	22 0.5×	15	270
Mina Shahisavandi Iran	7	353 2.0×	198 2.0×	158 2.0×	75 1.8×	95 2.3×	16	469
Adriana Azor United Kingdom	6	151 0.9×	24 0.2×	39 0.5×	32 0.8×	45 1.1×	8	254

Countries citing papers authored by Tamar Sudry

Since Specialization

Citations

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

Fields of papers citing papers by Tamar Sudry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Sudry

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Amit, Guy, Chen Yanover, Maytal Bivas‐Benita, et al.. (2024). Antidepressant use during pregnancy and the risk of preterm birth – a cohort study. 2(1). 6 indexed citations

2.

Amit, Guy, Yonatan Bilu, Tamar Sudry, et al.. (2024). Early Prediction of Autistic Spectrum Disorder Using Developmental Surveillance Data. JAMA Network Open. 7(1). e2351052–e2351052. 10 indexed citations

3.

Sudry, Tamar, Guy Amit, Deena R. Zimmerman, et al.. (2024). Sex-Specific Developmental Scales for Surveillance. PEDIATRICS. 153(4). 1 indexed citations

4.

Bilu, Yonatan, Guy Amit, Tamar Sudry, et al.. (2023). A Developmental Surveillance Score for Quantitative Monitoring of Early Childhood Milestone Attainment: Algorithm Development and Validation. JMIR Public Health and Surveillance. 9. e47315–e47315. 2 indexed citations

5.

Mizrahi, Barak, Tamar Sudry, Natalie Flaks‐Manov, et al.. (2023). Long covid outcomes at one year after mild SARS-CoV-2 infection: nationwide cohort study. BMJ. 380. e072529–e072529. 207 indexed citations breakdown →

6.

Sadaka, Yair, Tamar Sudry, Deena R. Zimmerman, et al.. (2022). Assessing the Attainment Rates of Updated CDC Milestones Using a New Israeli Developmental Scale. PEDIATRICS. 150(6). 5 indexed citations

7.

Sudry, Tamar, Deena R. Zimmerman, Itamar Grotto, et al.. (2022). Standardization of a Developmental Milestone Scale Using Data From Children in Israel. JAMA Network Open. 5(3). e222184–e222184. 21 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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