Karolin Biermann

800 total citations
9 papers, 596 citations indexed

About

Karolin Biermann is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Karolin Biermann has authored 9 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Karolin Biermann's work include Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (6 papers) and Infectious Diseases and Tuberculosis (2 papers). Karolin Biermann is often cited by papers focused on Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (6 papers) and Infectious Diseases and Tuberculosis (2 papers). Karolin Biermann collaborates with scholars based in United States, United Kingdom and India. Karolin Biermann's co-authors include William R. Jacobs, Michelle H. Larsen, Rainer Kalscheuer, Tsungda Hsu, Brian Weinrick, Veeraraghavan Usha, Stephen Bornemann, Zhen Liu, Karl Syson and Gurdyal S. Besra and has published in prestigious journals such as Applied Microbiology and Biotechnology, Nature Chemical Biology and Vaccine.

In The Last Decade

Karolin Biermann

8 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karolin Biermann United States 7 404 328 274 99 56 9 596
Premkumar Dinadayala France 13 350 0.9× 308 0.9× 306 1.1× 73 0.7× 55 1.0× 14 679
Sandeep Upadhyay India 12 432 1.1× 366 1.1× 358 1.3× 157 1.6× 55 1.0× 13 761
Steven M. Denkin United States 12 347 0.9× 240 0.7× 306 1.1× 166 1.7× 39 0.7× 14 685
Harry Thangaraj United Kingdom 12 354 0.9× 367 1.1× 235 0.9× 131 1.3× 23 0.4× 25 696
Eileen Pagán-Ramos United States 9 264 0.7× 244 0.7× 215 0.8× 106 1.1× 84 1.5× 12 562
Jean-Marc Reyrat France 4 338 0.8× 403 1.2× 168 0.6× 67 0.7× 59 1.1× 6 523
Aparna Khera India 7 263 0.7× 171 0.5× 229 0.8× 113 1.1× 29 0.5× 7 444
Fabien Le Chevalier France 11 555 1.4× 560 1.7× 230 0.8× 102 1.0× 82 1.5× 15 775
Albel Singh United Kingdom 17 488 1.2× 424 1.3× 407 1.5× 38 0.4× 99 1.8× 30 784
Xingji Zheng Canada 9 337 0.8× 268 0.8× 309 1.1× 48 0.5× 44 0.8× 11 583

Countries citing papers authored by Karolin Biermann

Since Specialization
Citations

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

Fields of papers citing papers by Karolin Biermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karolin Biermann

This figure shows the co-authorship network connecting the top 25 collaborators of Karolin Biermann. A scholar is included among the top collaborators of Karolin Biermann 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 Karolin Biermann. Karolin Biermann 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.
Biermann, Karolin, et al.. (2020). EP13-225-22 Benefits and harms: the double-edged sword of active tuberculosis case - finding globally, a qualitative study based on expert interviews. LSTM Online Archive (Liverpool School of Tropical Medicine). 1 indexed citations
2.
Jain, Paras, Tsungda Hsu, Masayoshi Arai, et al.. (2014). Specialized Transduction Designed for Precise High-Throughput Unmarked Deletions in Mycobacterium tuberculosis. mBio. 5(3). e01245–14. 123 indexed citations
3.
Kalscheuer, Rainer, Karl Syson, Veeraraghavan Usha, et al.. (2010). Self-poisoning of Mycobacterium tuberculosis by targeting GlgE in an α-glucan pathway. Nature Chemical Biology. 6(5). 376–384. 120 indexed citations
4.
Waters, W. Ray, Mitchell V. Palmer, Brian J. Nonnecke, et al.. (2009). Efficacy and immunogenicity of Mycobacterium bovis ΔRD1 against aerosol M. bovis infection in neonatal calves. Vaccine. 27(8). 1201–1209. 58 indexed citations
5.
Larsen, Michelle H., Karolin Biermann, Bing Chen, et al.. (2009). Efficacy and safety of live attenuated persistent and rapidly cleared Mycobacterium tuberculosis vaccine candidates in non-human primates. Vaccine. 27(34). 4709–4717. 73 indexed citations
6.
Biermann, Karolin, et al.. (2009). Analysis of neutral lipid biosynthesis in Streptomyces avermitilis MA-4680 and characterization of an acyltransferase involved herein. Applied Microbiology and Biotechnology. 84(1). 143–155. 29 indexed citations
7.
Larsen, Michelle H., Karolin Biermann, & William R. Jacobs. (2007). Laboratory Maintenance of Mycobacterium tuberculosis. Current Protocols in Microbiology. 6(1). Unit 10A.1–Unit 10A.1. 52 indexed citations
8.
Larsen, Michelle H., Karolin Biermann, & William R. Jacobs. (2007). Analyses of Mycobacterium tuberculosis Proteins. Current Protocols in Microbiology. 6(1). Unit 10A.4–Unit 10A.4.
9.
Larsen, Michelle H., et al.. (2007). Genetic Manipulation of Mycobacterium tuberculosis. Current Protocols in Microbiology. 6(1). Unit 10A.2–Unit 10A.2. 140 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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