Nataša Kejžar

67 total papers · 824 total citations
39 papers, 479 citations indexed

About

Nataša Kejžar is a scholar working on Surgery, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nataša Kejžar has authored 39 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 8 papers in Infectious Diseases and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nataša Kejžar's work include Viral Infections and Vectors (6 papers), Peripheral Artery Disease Management (4 papers) and Vector-borne infectious diseases (3 papers). Nataša Kejžar is often cited by papers focused on Viral Infections and Vectors (6 papers), Peripheral Artery Disease Management (4 papers) and Vector-borne infectious diseases (3 papers). Nataša Kejžar collaborates with scholars based in Slovenia, United States and Brazil. Nataša Kejžar's co-authors include Fajko F. Bajrović, Vladimir Batagelj, Matej Podbregar, Jože Balažič, Miša Korva, Tatjana Avšič‐Županc, Rok Blagus, S. M. White, Ana Saksida and Dougľas R. White and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Statistics in Medicine.

In The Last Decade

Nataša Kejžar

37 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Nataša Kejžar	175	130	82	78	71	39	479
Massimo Cavallaro	62 0.4×	20 0.2×	7 0.1×	16 0.2×	18 0.3×	26	519
Carla Rossi	46 0.3×	17 0.1×	43 0.5×	114 1.5×	14 0.2×	48	408
Xiaosong Ben	121 0.7×	31 0.2×	4 0.0×	18 0.2×	36 0.5×	45	469
Deepak Parashar	131 0.7×	35 0.3×	52 0.6×	23 0.3×	10 0.1×	43	495
Daniel Schneider	93 0.5×	12 0.1×	124 1.5×	10 0.1×	93 1.3×	28	544
Anthony Chauvin	70 0.4×	40 0.3×	30 0.4×	101 1.3×	25 0.4×	49	540
Andrew J. King	27 0.2×	38 0.3×	27 0.3×	38 0.5×	88 1.2×	22	539
Martí Català	29 0.2×	27 0.2×	5 0.1×	24 0.3×	254 3.6×	46	465
Guoxiang Li	24 0.1×	24 0.2×	25 0.3×	70 0.9×	155 2.2×	30	499
Raymond Liu	47 0.3×	28 0.2×	15 0.2×	26 0.3×	42 0.6×	24	506

Countries citing papers authored by Nataša Kejžar

Since Specialization

Citations

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

Fields of papers citing papers by Nataša Kejžar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nataša Kejžar

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