Katja Böhme

541 total citations
9 papers, 414 citations indexed

About

Katja Böhme is a scholar working on Genetics, Endocrinology and Infectious Diseases. According to data from OpenAlex, Katja Böhme has authored 9 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Endocrinology and 1 paper in Infectious Diseases. Recurrent topics in Katja Böhme's work include Yersinia bacterium, plague, ectoparasites research (7 papers), Vibrio bacteria research studies (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Katja Böhme is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (7 papers), Vibrio bacteria research studies (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Katja Böhme collaborates with scholars based in Germany and Sweden. Katja Böhme's co-authors include Ann Kathrin Heroven, Petra Dersch, Manfred Rohde, Fabio Pisano, Franz Narberhaus, Jens Kortmann, Hans Wolf‐Watz, Johannes Klein, Richard Münch and Dietmar Schomburg and has published in prestigious journals such as Molecular Microbiology, Frontiers in Microbiology and PLoS Pathogens.

In The Last Decade

Katja Böhme

9 papers receiving 410 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katja Böhme Germany 7 298 216 144 61 43 9 414
Reija Venho Finland 5 266 0.9× 156 0.7× 151 1.0× 79 1.3× 44 1.0× 7 404
Petra J. Edqvist Sweden 10 356 1.2× 146 0.7× 283 2.0× 37 0.6× 50 1.2× 12 489
Anna M. Kolodziejek United States 8 196 0.7× 142 0.7× 101 0.7× 39 0.6× 25 0.6× 12 322
Г. М. Титарева Russia 10 327 1.1× 247 1.1× 74 0.5× 65 1.1× 32 0.7× 37 440
Dorothy E. Pierson United States 9 291 1.0× 157 0.7× 150 1.0× 26 0.4× 59 1.4× 9 441
М. E. Platonov Russia 10 350 1.2× 303 1.4× 65 0.5× 60 1.0× 18 0.4× 48 476
Sergey V. Balakhonov Russia 7 263 0.9× 220 1.0× 67 0.5× 54 0.9× 14 0.3× 12 376
Iman Chouikha United States 8 159 0.5× 136 0.6× 105 0.7× 32 0.5× 24 0.6× 9 297
Janelle M. Hare United States 10 282 0.9× 264 1.2× 112 0.8× 83 1.4× 19 0.4× 15 477
Jeffrey M. Elliott United States 6 363 1.2× 306 1.4× 79 0.5× 104 1.7× 20 0.5× 6 476

Countries citing papers authored by Katja Böhme

Since Specialization
Citations

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

Fields of papers citing papers by Katja Böhme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Böhme

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Böhme. A scholar is included among the top collaborators of Katja Böhme 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 Böhme. Katja Böhme is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Böhme, Katja, Doris Klingelhöfer, David A. Groneberg, & M. H. K. Bendels. (2022). Gender disparities in pediatric research: a descriptive bibliometric study on scientific authorships. Pediatric Research. 92(1). 80–90. 8 indexed citations
2.
Böhme, Katja, et al.. (2021). The Small Protein YmoA Controls the Csr System and Adjusts Expression of Virulence-Relevant Traits of Yersinia pseudotuberculosis. Frontiers in Microbiology. 12. 706934–706934. 9 indexed citations
3.
Heroven, Ann Kathrin, Fabio Pisano, Katja Böhme, et al.. (2012). Crp Induces Switching of the CsrB and CsrC RNAs in Yersinia pseudotuberculosis and Links Nutritional Status to Virulence. Frontiers in Cellular and Infection Microbiology. 2. 158–158. 54 indexed citations
4.
Böhme, Katja, Jens Kortmann, Ann Kathrin Heroven, et al.. (2012). Concerted Actions of a Thermo-labile Regulator and a Unique Intergenic RNA Thermosensor Control Yersinia Virulence. PLoS Pathogens. 8(2). e1002518–e1002518. 128 indexed citations
5.
Heroven, Ann Kathrin, Katja Böhme, & Petra Dersch. (2012). Regulation of Virulence Gene Expression by Regulatory RNA Elements in Yersinia pseudotuberculosis. Advances in experimental medicine and biology. 954. 315–323. 5 indexed citations
6.
Heroven, Ann Kathrin, Katja Böhme, & Petra Dersch. (2012). The Csr/Rsm system of Yersinia and related pathogens. RNA Biology. 9(4). 379–391. 79 indexed citations
7.
Heroven, Ann Kathrin, Katja Böhme, Manfred Rohde, & Petra Dersch. (2008). A Csr‐type regulatory system, including small non‐coding RNAs, regulates the global virulence regulator RovA of Yersinia pseudotuberculosis through RovM. Molecular Microbiology. 68(5). 1179–1195. 99 indexed citations
8.
Heroven, Ann Kathrin, et al.. (2007). Regulatory Elements Implicated in the Environmental Control of Invasin Expression in Enteropathogenic Yersinia. Advances in experimental medicine and biology. 603. 156–166. 26 indexed citations
9.
Böhme, Katja, et al.. (1972). Stand der Entwicklung und Anwendung des Kaltpreßschweißens. Materialwissenschaft und Werkstofftechnik. 3(6). 286–291. 6 indexed citations

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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