Katja Jachau

50 total papers · 661 total citations
26 papers, 467 citations indexed

About

Katja Jachau is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Katja Jachau has authored 26 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Katja Jachau's work include Alcohol Consumption and Health Effects (7 papers), Forensic Toxicology and Drug Analysis (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Katja Jachau is often cited by papers focused on Alcohol Consumption and Health Effects (7 papers), Forensic Toxicology and Drug Analysis (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Katja Jachau collaborates with scholars based in Germany, Switzerland and Sweden. Katja Jachau's co-authors include Knut Dietzmann, Daniel Krause, Peter von Bossanyi, Elmar Kirches, Frank Mußhoff, Péter Schmidt, R. Dettmeyer, Burkhard Madea, Gregory E. Skipper and Arthur Varga and has published in prestigious journals such as Experimental Brain Research, Alcoholism Clinical and Experimental Research and Forensic Science International.

In The Last Decade

Katja Jachau

25 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Katja Jachau	149	130	74	67	55	26	467
J P Morgan	90 0.6×	136 1.0×	57 0.8×	67 1.0×	21 0.4×	21	449
Reza Shabanian	26 0.2×	89 0.7×	11 0.1×	8 0.1×	81 1.5×	36	497
Xu Wang	63 0.4×	53 0.4×	11 0.1×	63 0.9×	19 0.3×	28	419
Isabella Peixoto de Barcelos	84 0.6×	284 2.2×	4 0.1×	45 0.7×	34 0.6×	20	542
W.A. Taylor	100 0.7×	123 0.9×	11 0.1×	23 0.3×	10 0.2×	16	489
Deborah Barlow	37 0.2×	175 1.3×	184 2.5×	61 0.9×	53 1.0×	25	540
Hong Tang	24 0.2×	149 1.1×	22 0.3×	55 0.8×	53 1.0×	30	504
Philippe Primo Caimmi	82 0.6×	80 0.6×	9 0.1×	13 0.2×	59 1.1×	29	504
A. Hodson	29 0.2×	207 1.6×	40 0.5×	49 0.7×	50 0.9×	19	429
Haiqiong Liu	78 0.5×	241 1.9×	3 0.0×	16 0.2×	92 1.7×	22	518

Countries citing papers authored by Katja Jachau

Since Specialization

Citations

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

Fields of papers citing papers by Katja Jachau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Jachau

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