Ivana Lapić

82 total papers · 712 total citations
41 papers, 385 citations indexed

About

Ivana Lapić is a scholar working on Physiology, Molecular Biology and Hematology. According to data from OpenAlex, Ivana Lapić has authored 41 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 7 papers in Molecular Biology and 7 papers in Hematology. Recurrent topics in Ivana Lapić's work include Clinical Laboratory Practices and Quality Control (11 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Ivana Lapić is often cited by papers focused on Clinical Laboratory Practices and Quality Control (11 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Ivana Lapić collaborates with scholars based in Croatia, Italy and Bosnia and Herzegovina. Ivana Lapić's co-authors include Mario Plebani, Dunja Rogić, Andrea Padoan, Dania Bozzato, Iva Alajbeg, Francesca Tosato, Michela Pelloso, Elisa Piva, Ana Andabak Rogulj and Désirée Coen Herak and has published in prestigious journals such as Scientific Reports, Journal of Clinical Pathology and Frontiers in Physiology.

In The Last Decade

Ivana Lapić

36 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Ivana Lapić 128 65 63 54 45 41 385
D. Griffin 34 0.3× 85 1.3× 37 0.6× 79 1.5× 29 0.6× 31 434
Seung Mun Jung 42 0.3× 91 1.4× 24 0.4× 77 1.4× 133 3.0× 24 427
Ahmet Nalbant 64 0.5× 40 0.6× 133 2.1× 90 1.7× 49 1.1× 51 441
Isabelle Bardoulat 43 0.3× 47 0.7× 39 0.6× 101 1.9× 55 1.2× 26 394
Mehmet Derya Demirağ 20 0.2× 19 0.3× 54 0.9× 55 1.0× 61 1.4× 34 380
Patrizio Capelli 26 0.2× 94 1.4× 58 0.9× 37 0.7× 164 3.6× 49 368
Scott S. DeRossi 57 0.4× 24 0.4× 9 0.1× 33 0.6× 91 2.0× 37 413
Muhammad Adrish 75 0.6× 138 2.1× 99 1.6× 42 0.8× 27 0.6× 38 411
Amelia Santosa 40 0.3× 58 0.9× 76 1.2× 63 1.2× 67 1.5× 49 431
Konstantia Kantartzi 35 0.3× 99 1.5× 27 0.4× 27 0.5× 137 3.0× 32 362

Countries citing papers authored by Ivana Lapić

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Lapić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Lapić

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