Tina Lavin

58 total papers · 2.3k total citations
38 papers, 826 citations indexed

About

Tina Lavin is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions and Obstetrics and Gynecology. According to data from OpenAlex, Tina Lavin has authored 38 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pediatrics, Perinatology and Child Health, 12 papers in General Health Professions and 12 papers in Obstetrics and Gynecology. Recurrent topics in Tina Lavin's work include Global Maternal and Child Health (12 papers), Neonatal Respiratory Health Research (8 papers) and Pregnancy and preeclampsia studies (6 papers). Tina Lavin is often cited by papers focused on Global Maternal and Child Health (12 papers), Neonatal Respiratory Health Research (8 papers) and Pregnancy and preeclampsia studies (6 papers). Tina Lavin collaborates with scholars based in Australia, Switzerland and Nigeria. Tina Lavin's co-authors include David B. Preen, Julia Krasevec, Yemisrach B. Okwaraji, Ann‐Beth Moller, Ellen Bradley, Jennifer Requejo, Alex Lewin, Jenny A. Cresswell, Hannah Blencowe and Laith Hussain‐Alkhateeb and has published in prestigious journals such as The Lancet, PLoS ONE and Addiction.

In The Last Decade

Tina Lavin

34 papers receiving 816 citations

Hit Papers

National, regional, and g... 2023 2026 2024 2023 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tina Lavin 444 237 225 193 145 38 826
A C Allen 429 1.0× 275 1.2× 197 0.9× 189 1.0× 113 0.8× 27 923
Nansi S. Boghossian 443 1.0× 177 0.7× 359 1.6× 189 1.0× 253 1.7× 40 854
Naeye Rl 541 1.2× 365 1.5× 195 0.9× 183 0.9× 168 1.2× 38 1.0k
PS Shah 457 1.0× 173 0.7× 286 1.3× 213 1.1× 162 1.1× 40 858
M Voigt 397 0.9× 276 1.2× 136 0.6× 63 0.3× 151 1.0× 56 766
John J. Botti 222 0.5× 289 1.2× 179 0.8× 230 1.2× 251 1.7× 29 942
Gholamreza Badfar 237 0.5× 199 0.8× 82 0.4× 191 1.0× 204 1.4× 44 832
John S. Curran 393 0.9× 143 0.6× 170 0.8× 75 0.4× 109 0.8× 41 810
Heather A. Frey 476 1.1× 388 1.6× 288 1.3× 327 1.7× 319 2.2× 65 1.0k
Paul G. Tomich 589 1.3× 396 1.7× 253 1.1× 240 1.2× 240 1.7× 32 1.0k

Countries citing papers authored by Tina Lavin

Since Specialization
Citations

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

Fields of papers citing papers by Tina Lavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Lavin

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

All Works

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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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