K. Tenenbaum‐Gavish

5 papers receiving 424 citations

Hit Papers

ASPRE trial: performance of screening for preterm pre‐ecl...2017202620202023201750100150200250

Peers

K. Tenenbaum‐Gavish
Comparison fields: 5 of 40
  • Obstetrics and Gynecology 349
  • Pediatrics, Perinatology and Child Health 340
  • Public Health, Environmental and Occupational Health 83
  • Pulmonary and Respiratory Medicine 46
  • Immunology 42
Replace Cecilia Villalaín with:
Cecilia Villalaín Spain
Nathan R. Blue United States
Melanie M.J. Wiegerinck Netherlands
Erry Gumilar Dachlan Indonesia
Joy Ellis Sweden
Elena Vasario Italy
Tessa Gillon Switzerland
Meghana Toal Canada
Walter Ventura Peru
P. Berle Germany
K. Tenenbaum‐Gavish relative to Cecilia Villalaín Spain Cecilia Villalaín's profile →
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Countries citing papers authored by K. Tenenbaum‐Gavish

Since Specialization
Citations

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

Fields of papers citing papers by K. Tenenbaum‐Gavish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Tenenbaum‐Gavish. 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 K. Tenenbaum‐Gavish. The network helps show where K. Tenenbaum‐Gavish may publish in the future.

Co-authorship network of co-authors of K. Tenenbaum‐Gavish

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

All Works

5 of 5 papers shown
#WorkIndexed citations
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2 11
3
ASPRE trial: performance of screening for preterm pre‐eclampsiabreakdown →
276
4 106
5 43

About K. Tenenbaum‐Gavish

K. Tenenbaum‐Gavish is a scholar working on Obstetrics and Gynecology, Anesthesiology and Pain Medicine and Pediatrics, Perinatology and Child Health, having authored 5 papers that have together received 438 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Maternal and fetal healthcare (1 paper) and Preterm Birth and Chorioamnionitis (1 paper). The work is most often cited by research in Obstetrics and Gynecology (349 citations), Pediatrics, Perinatology and Child Health (340 citations) and Public Health, Environmental and Occupational Health (83 citations). K. Tenenbaum‐Gavish has collaborated with scholars based in Israel, United Kingdom and Belgium. Frequent co-authors include Yariv Yogev, Ron Bardin, Gadi Ben‐Shitrit, Avi Ben‐Haroush, D. Janga, Jacques Jani, W. Plasencia, Francisca S. Molina, George Papaioannou and C. de Paco Matallana. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Placenta and Obstetric Anesthesia Digest.

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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