Julia Tabatabai

35 total papers · 716 total citations
25 papers, 468 citations indexed

About

Julia Tabatabai is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Julia Tabatabai has authored 25 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 13 papers in Infectious Diseases and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Julia Tabatabai's work include Respiratory viral infections research (17 papers), Viral gastroenteritis research and epidemiology (6 papers) and Tracheal and airway disorders (6 papers). Julia Tabatabai is often cited by papers focused on Respiratory viral infections research (17 papers), Viral gastroenteritis research and epidemiology (6 papers) and Tracheal and airway disorders (6 papers). Julia Tabatabai collaborates with scholars based in Germany, United States and Switzerland. Julia Tabatabai's co-authors include Paul Schnitzler, Johannes Pfeil, Christiane Prifert, Jürgen Grulich‐Henn, Nicola Lehners, Benedikt Weißbrich, Gerlinde Egerer, Marianne Wedde, Barbara Biere and Joe Puthenparambil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Julia Tabatabai

24 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Julia Tabatabai 302 210 100 66 49 25 468
Katja Weiß 317 1.0× 171 0.8× 69 0.7× 62 0.9× 35 0.7× 36 544
Meri Gorgievski-Hrisoho 337 1.1× 195 0.9× 123 1.2× 53 0.8× 25 0.5× 23 539
Jieun Kim 130 0.4× 102 0.5× 174 1.7× 82 1.2× 37 0.8× 25 487
P.C. Wong 168 0.6× 162 0.8× 126 1.3× 91 1.4× 67 1.4× 29 470
Martin Frühwirth 101 0.3× 185 0.9× 54 0.5× 91 1.4× 78 1.6× 28 546
Ran Jia 231 0.8× 315 1.5× 83 0.8× 38 0.6× 22 0.4× 31 540
Luciane Aparecida Pereira 348 1.2× 295 1.4× 83 0.8× 53 0.8× 19 0.4× 36 549
Hilde Vroling 375 1.2× 113 0.5× 63 0.6× 26 0.4× 45 0.9× 16 502
Volker Vetter 203 0.7× 193 0.9× 50 0.5× 28 0.4× 23 0.5× 24 521
Willem Verhagen 180 0.6× 168 0.8× 106 1.1× 170 2.6× 38 0.8× 25 548

Countries citing papers authored by Julia Tabatabai

Since Specialization
Citations

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

Fields of papers citing papers by Julia Tabatabai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Tabatabai

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Tabatabai. A scholar is included among the top collaborators of Julia Tabatabai 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 Julia Tabatabai. Julia Tabatabai 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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