Anca Sava

128 total papers · 705 total citations
74 papers, 475 citations indexed

About

Anca Sava is a scholar working on Epidemiology, Neurology and Surgery. According to data from OpenAlex, Anca Sava has authored 74 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 14 papers in Neurology and 11 papers in Surgery. Recurrent topics in Anca Sava's work include Meningioma and schwannoma management (11 papers), History of Medicine Studies (6 papers) and Medical and Biological Sciences (5 papers). Anca Sava is often cited by papers focused on Meningioma and schwannoma management (11 papers), History of Medicine Studies (6 papers) and Medical and Biological Sciences (5 papers). Anca Sava collaborates with scholars based in Romania, United States and United Kingdom. Anca Sava's co-authors include Claudia Florida Costea, Gabriela Florenţa Dumitrescu, Marcel Popa, Andrei Ionuț Cucu, Daniela Maria Tănase, Manuela Ciocoiu, Mariana Floria, Claudia Cristina Tărniceriu, Uwe Himmelreich and Marcel Costuleanu and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and International Journal of Pharmaceutics.

In The Last Decade

Anca Sava

59 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
Anca Sava 90 85 73 56 46 74 475
Rajappa Senthilkumar 148 1.6× 57 0.7× 31 0.4× 19 0.3× 49 1.1× 51 448
Fahimeh Asadi Amoli 108 1.2× 116 1.4× 36 0.5× 20 0.4× 13 0.3× 64 447
Elif Demirci 69 0.8× 93 1.1× 39 0.5× 50 0.9× 14 0.3× 54 531
Lorenzo Caruso 109 1.2× 38 0.4× 22 0.3× 21 0.4× 99 2.2× 41 416
Lihong Jiang 98 1.1× 33 0.4× 65 0.9× 20 0.4× 27 0.6× 43 491
Pembe Oltulu 55 0.6× 64 0.8× 33 0.5× 19 0.3× 11 0.2× 81 512
Hong Ran 93 1.0× 75 0.9× 41 0.6× 41 0.7× 17 0.4× 40 469
Pu Wang 99 1.1× 45 0.5× 54 0.7× 21 0.4× 28 0.6× 51 495
Joško Osredkar 89 1.0× 57 0.7× 48 0.7× 57 1.0× 20 0.4× 48 537
Gökhan Koca 78 0.9× 75 0.9× 36 0.5× 13 0.2× 49 1.1× 76 529

Countries citing papers authored by Anca Sava

Since Specialization
Citations

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

Fields of papers citing papers by Anca Sava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anca Sava

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