Karin Riemann-Lorenz

43 total papers · 427 total citations
27 papers, 218 citations indexed

About

Karin Riemann-Lorenz is a scholar working on Pathology and Forensic Medicine, Epidemiology and Hematology. According to data from OpenAlex, Karin Riemann-Lorenz has authored 27 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pathology and Forensic Medicine, 6 papers in Epidemiology and 6 papers in Hematology. Recurrent topics in Karin Riemann-Lorenz's work include Multiple Sclerosis Research Studies (23 papers), Autoimmune and Inflammatory Disorders Research (6 papers) and Fungal Infections and Studies (3 papers). Karin Riemann-Lorenz is often cited by papers focused on Multiple Sclerosis Research Studies (23 papers), Autoimmune and Inflammatory Disorders Research (6 papers) and Fungal Infections and Studies (3 papers). Karin Riemann-Lorenz collaborates with scholars based in Germany, United States and France. Karin Riemann-Lorenz's co-authors include Christoph Heesen, Robert W. Motl, Sascha Köpke, Susan Coote, Karl‐Heinz Schulz, Gloria von Geldern, Anne Christin Rahn, Anne Daubmann, Bláthín Casey and Christopher Kofahl and has published in prestigious journals such as PLoS ONE, Nutrients and BMC Public Health.

In The Last Decade

Karin Riemann-Lorenz

24 papers receiving 212 citations

Author Peers

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

Author						Papers	Cites
Karin Riemann-Lorenz	145	37	32	26	24	27	218
Daiana Bezzini	207 1.4×	15 0.4×	18 0.6×	14 0.5×	67 2.8×	22	327
Paul Kamudoni	52 0.4×	10 0.3×	20 0.6×	25 1.0×	22 0.9×	30	280
Nina Steinemann	131 0.9×	7 0.2×	23 0.7×	34 1.3×	19 0.8×	21	323
Amin Zarghami	64 0.4×	7 0.2×	12 0.4×	20 0.8×	11 0.5×	37	281
Maggie Yu	68 0.5×	17 0.5×	13 0.4×	9 0.3×	4 0.2×	37	306
Shuntaro Abe	48 0.3×	8 0.2×	12 0.4×	26 1.0×	16 0.7×	37	315
Sara Moreno‐García	97 0.7×	6 0.2×	24 0.8×	8 0.3×	45 1.9×	18	175
Daniel A. Bowen	46 0.3×	11 0.3×	6 0.2×	26 1.0×	47 2.0×	25	322
Valentina Torri Clerici	113 0.8×	11 0.3×	29 0.9×	4 0.2×	31 1.3×	19	154
Małgorzata Fudala	121 0.8×	8 0.2×	18 0.6×	3 0.1×	49 2.0×	24	215

Countries citing papers authored by Karin Riemann-Lorenz

Since Specialization

Citations

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

Fields of papers citing papers by Karin Riemann-Lorenz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Riemann-Lorenz. 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 Karin Riemann-Lorenz. The network helps show where Karin Riemann-Lorenz may publish in the future.

Co-authorship network of co-authors of Karin Riemann-Lorenz

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Riemann-Lorenz. A scholar is included among the top collaborators of Karin Riemann-Lorenz 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 Karin Riemann-Lorenz. Karin Riemann-Lorenz 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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