Nina Renner

14 total papers · 759 total citations
10 papers, 144 citations indexed

About

Nina Renner is a scholar working on Rheumatology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nina Renner has authored 10 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 3 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nina Renner's work include Rheumatoid Arthritis Research and Therapies (6 papers), Systemic Lupus Erythematosus Research (3 papers) and Musculoskeletal synovial abnormalities and treatments (3 papers). Nina Renner is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (6 papers), Systemic Lupus Erythematosus Research (3 papers) and Musculoskeletal synovial abnormalities and treatments (3 papers). Nina Renner collaborates with scholars based in Germany, Austria and United States. Nina Renner's co-authors include Georg Schett, Jürgen Rech, Matthias Englbrecht, Klaus Engelke, David Simón, Arnd Kleyer, Andreas Berlin, Christopher Gaul, Thomas Buder and Judith Haschka and has published in prestigious journals such as Physical Review A, Journal of Bone and Mineral Research and Annals of the Rheumatic Diseases.

In The Last Decade

Nina Renner

9 papers receiving 139 citations

Author Peers

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

Author						Papers	Cites
Nina Renner	113	34	33	14	14	10	144
Brianna Castillo	58 0.5×	36 1.1×	14 0.4×	4 0.3×	11 0.8×	9	121
D. Chu Miow Lin	67 0.6×	28 0.8×	10 0.3×	28 2.0×	15 1.1×	8	112
A. Pierreisnard	74 0.7×	13 0.4×	5 0.2×	13 0.9×	19 1.4×	9	98
Juan Carlos Marcos	108 1.0×	23 0.7×	11 0.3×	6 0.4×	33 2.4×	10	150
Silman Aj	60 0.5×	40 1.2×	13 0.4×	3 0.2×	3 0.2×	10	137
Monika Ronneberger	88 0.8×	19 0.6×	8 0.2×	6 0.4×	28 2.0×	11	124
Hironori Miyamoto	56 0.5×	18 0.5×	151 4.6×	22 1.6×	3 0.2×	15	248
T. Kobayashi	69 0.6×	19 0.6×	8 0.2×	2 0.1×	12 0.9×	10	106
Shannon Langmead	39 0.3×	19 0.6×	5 0.2×	14 1.0×	4 0.3×	11	137
Mara Seguso	28 0.2×	7 0.2×	21 0.6×	20 1.4×	12 0.9×	9	146

Countries citing papers authored by Nina Renner

Since Specialization

Citations

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

Fields of papers citing papers by Nina Renner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Renner

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