Christine Prodinger

61 total papers · 503 total citations
32 papers, 306 citations indexed

About

Christine Prodinger is a scholar working on Cell Biology, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Christine Prodinger has authored 32 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cell Biology, 14 papers in Pathology and Forensic Medicine and 8 papers in Dermatology. Recurrent topics in Christine Prodinger's work include Skin and Cellular Biology Research (17 papers), Autoimmune Bullous Skin Diseases (11 papers) and Transgenic Plants and Applications (4 papers). Christine Prodinger is often cited by papers focused on Skin and Cellular Biology Research (17 papers), Autoimmune Bullous Skin Diseases (11 papers) and Transgenic Plants and Applications (4 papers). Christine Prodinger collaborates with scholars based in Austria, Germany and United Kingdom. Christine Prodinger's co-authors include Martin Laimer, Johann Bauer, Julia Reichelt, Josef Koller, Uta C. Hoppe, Bernhard Wernly, Christian Jung, Michael Lichtenauer, Helmut Hintner and Anja Diem and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Life Sciences.

In The Last Decade

Christine Prodinger

29 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Christine Prodinger	132	95	72	49	48	32	306
Sébastien Menzinger	112 0.8×	78 0.8×	45 0.6×	54 1.1×	28 0.6×	18	336
Sathivel Chinnathambi	54 0.4×	150 1.6×	82 1.1×	48 1.0×	53 1.1×	23	341
Kambiz Kamyab Hesari	60 0.5×	73 0.8×	53 0.7×	31 0.6×	45 0.9×	30	324
Nikoo Mozafari	103 0.8×	63 0.7×	123 1.7×	55 1.1×	34 0.7×	50	338
Yutaka Momota	87 0.7×	104 1.1×	19 0.3×	20 0.4×	29 0.6×	31	350
Y Fujimura	57 0.4×	55 0.6×	30 0.4×	87 1.8×	19 0.4×	36	290
Kazushi Ishikawa	40 0.3×	52 0.5×	71 1.0×	46 0.9×	14 0.3×	22	262
Mervat M. Khorshied	76 0.6×	98 1.0×	45 0.6×	12 0.2×	18 0.4×	46	340
Reiko Kitamura	135 1.0×	68 0.7×	55 0.8×	11 0.2×	18 0.4×	24	325
Jaron Nazaroff	141 1.1×	66 0.7×	63 0.9×	29 0.6×	35 0.7×	19	241

Countries citing papers authored by Christine Prodinger

Since Specialization

Citations

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

Fields of papers citing papers by Christine Prodinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Prodinger

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