Christine Lange‐Dohna

9 total papers · 609 total citations
8 papers, 514 citations indexed

About

Christine Lange‐Dohna is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Christine Lange‐Dohna has authored 8 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Christine Lange‐Dohna's work include Alzheimer's disease research and treatments (6 papers), Drug Transport and Resistance Mechanisms (2 papers) and Computational Drug Discovery Methods (2 papers). Christine Lange‐Dohna is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Drug Transport and Resistance Mechanisms (2 papers) and Computational Drug Discovery Methods (2 papers). Christine Lange‐Dohna collaborates with scholars based in Germany, United States and Russia. Christine Lange‐Dohna's co-authors include Steffen Roßner, J. Regino Perez‐Polo, Ulrike Zeitschel, Krystyn Z. Bourne, Thomas G. Wood, Diana C. Ferrari, Volker Bigl, Bernhard Lüscher, Regino Perez‐Polo and Andrea A. Robitzki and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neurochemistry and Neurobiology of Aging.

In The Last Decade

Christine Lange‐Dohna

8 papers receiving 508 citations

Author Peers

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

Author						Papers	Cites
Christine Lange‐Dohna	362	169	133	111	88	8	514
Steve Estus	364 1.0×	203 1.2×	93 0.7×	114 1.0×	86 1.0×	9	524
Katsue Miyoshi	288 0.8×	188 1.1×	77 0.6×	92 0.8×	87 1.0×	11	484
Motoko Shinohara	399 1.1×	177 1.0×	205 1.5×	105 0.9×	49 0.6×	8	616
Yuan-Wen Ge	308 0.9×	194 1.1×	67 0.5×	88 0.8×	99 1.1×	12	482
Tien‐Phat V. Huynh	356 1.0×	153 0.9×	148 1.1×	94 0.8×	71 0.8×	8	472
Melanie Hüttenrauch	281 0.8×	231 1.4×	145 1.1×	81 0.7×	40 0.5×	13	611
Natàlia Crespo‐Biel	323 0.9×	256 1.5×	120 0.9×	212 1.9×	109 1.2×	12	605
Gayathri Ramaswamy	294 0.8×	264 1.6×	159 1.2×	80 0.7×	52 0.6×	14	545
Abhishek Ankur Balmik	292 0.8×	226 1.3×	106 0.8×	65 0.6×	82 0.9×	12	493
Ji‐Yeun Hur	386 1.1×	239 1.4×	79 0.6×	90 0.8×	106 1.2×	13	547

Countries citing papers authored by Christine Lange‐Dohna

Since Specialization

Citations

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

Fields of papers citing papers by Christine Lange‐Dohna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Lange‐Dohna

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