Verena Liebers

999 total citations
41 papers, 788 citations indexed

About

Verena Liebers is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Immunology and Allergy. According to data from OpenAlex, Verena Liebers has authored 41 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 17 papers in Public Health, Environmental and Occupational Health and 13 papers in Immunology and Allergy. Recurrent topics in Verena Liebers's work include Occupational exposure and asthma (17 papers), Indoor Air Quality and Microbial Exposure (16 papers) and Allergic Rhinitis and Sensitization (13 papers). Verena Liebers is often cited by papers focused on Occupational exposure and asthma (17 papers), Indoor Air Quality and Microbial Exposure (16 papers) and Allergic Rhinitis and Sensitization (13 papers). Verena Liebers collaborates with scholars based in Germany, United States and Romania. Verena Liebers's co-authors include Monika Raulf, Thomas Brüning, Xaver Baur, Vera van Kampen, Ingrid Sander, Grzegorz Mazur, Claus Steppert, Jürgen Bünger, H. Allmers and Z CHEN and has published in prestigious journals such as PLoS ONE, Biochemistry and Journal of Allergy and Clinical Immunology.

In The Last Decade

Verena Liebers

41 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Verena Liebers Germany 15 410 206 153 116 111 41 788
Ju‐Hyeong Park United States 18 667 1.6× 151 0.7× 72 0.5× 359 3.1× 191 1.7× 55 1.1k
Katarina Kulhánková United States 15 293 0.7× 80 0.4× 91 0.6× 227 2.0× 121 1.1× 27 953
Lena Beijer Sweden 16 319 0.8× 50 0.2× 112 0.7× 127 1.1× 135 1.2× 24 798
Diedron Lewis United States 13 228 0.6× 49 0.2× 89 0.6× 36 0.3× 58 0.5× 24 527
Marjut Reiman Finland 15 264 0.6× 66 0.3× 137 0.9× 45 0.4× 107 1.0× 21 492
Moon M. Sen United States 11 208 0.5× 320 1.6× 59 0.4× 43 0.4× 19 0.2× 18 692
M.D. Topping United Kingdom 21 501 1.2× 379 1.8× 500 3.3× 231 2.0× 198 1.8× 39 1.3k
Swati Gupta Bhattacharya India 18 457 1.1× 530 2.6× 24 0.2× 156 1.3× 32 0.3× 58 950
A.B. Czuppon Germany 20 252 0.6× 310 1.5× 503 3.3× 78 0.7× 131 1.2× 57 1.2k
Iwona Yike United States 16 471 1.1× 77 0.4× 57 0.4× 65 0.6× 109 1.0× 21 999

Countries citing papers authored by Verena Liebers

Since Specialization
Citations

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

Fields of papers citing papers by Verena Liebers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Liebers

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

All Works

20 of 20 papers shown
1.
2.
Kespohl, Sabine, et al.. (2022). What should be tested in patients with suspected mold exposure? Usefulness of serological markers for the diagnosis. PubMed. 6(1). 118–132. 4 indexed citations
3.
Liebers, Verena, Benjamin Kendzia, Christian Monsé, et al.. (2018). Cell Activation and Cytokine Release Ex Vivo: Estimation of Reproducibility of the Whole-Blood Assay with Fresh Human Blood. Advances in experimental medicine and biology. 1108. 25–36. 7 indexed citations
4.
Raulf, Monika, Vera van Kampen, Verena Liebers, et al.. (2017). Airway and Blood Inflammatory Markers in Waste Collectors. Advances in experimental medicine and biology. 1021. 1–14. 11 indexed citations
5.
Liebers, Verena, et al.. (2015). Dust, endotoxin and antigen concentrations arising during refuse collection. 75. 275–284. 4 indexed citations
6.
Liebers, Verena, et al.. (2014). Determination of ATP-activity as a useful tool for monitoring microbial load in aqueous humidifier samples. International Journal of Hygiene and Environmental Health. 218(2). 246–253. 10 indexed citations
7.
Liebers, Verena, et al.. (2012). Assessment of Airborne Exposure to Endotoxin and Pyrogenic Active Dust Using Electrostatic Dustfall Collectors (EDCs). Journal of Toxicology and Environmental Health. 75(8-10). 501–507. 26 indexed citations
8.
Liebers, Verena, et al.. (2012). Determination of inflammatory responses to Aspergillus versicolor and endotoxin with human cryo-preserved blood as a suitable tool. International Journal of Hygiene and Environmental Health. 216(4). 402–407. 9 indexed citations
9.
Liebers, Verena, et al.. (2009). Standardization of whole blood assay for determination of pyrogenic activity in organic dust samples. International Journal of Hygiene and Environmental Health. 212(5). 547–556. 30 indexed citations
10.
Sander, Ingrid, Verena Liebers, Thomas Brüning, & Monika Raulf. (2006). Neue Methoden zum Nachweis von Endotoxin und Glukan. Allergologie. 29(11). 446–448. 1 indexed citations
11.
Liebers, Verena, et al.. (1997). Flow-Cytometric Analysis of T-Cell Receptor Expression in Peripheral Blood Lymphocytes. International Archives of Allergy and Immunology. 112(2). 133–139. 2 indexed citations
12.
13.
Kampen, Vera van, et al.. (1994). Analysis of b-cell epitopes in the n-terminal region of Chi t I component III using monoclonal antibodies. Molecular Immunology. 31(15). 1133–1140. 15 indexed citations
14.
Liebers, Verena & Xaver Baur. (1994). Chironomidae haemoglobin Chit I–characterization of an important inhalant allergen. Clinical & Experimental Allergy. 24(2). 100–108. 11 indexed citations
15.
Kampen, Vera van, Verena Liebers, A.B. Czuppon, & Xaver Baur. (1994). Chironomidae hemoglobin allergy in Japanese, Swedish, and German populations. Allergy. 49(1). 9–12. 21 indexed citations
16.
Liebers, Verena, Monika Raulf, & Xaver Baur. (1994). Allergen‐induced expression of cell surface markers on lymphocytes of Chi t I‐sensitized patients. Allergy. 49(3). 163–169. 2 indexed citations
17.
Liebers, Verena, et al.. (1993). Epitope mapping with peptides of Chi t I component III and immunomodulation of the Chi t immune response. Journal of Allergy and Clinical Immunology. 92(2). 334–339. 12 indexed citations
18.
Baur, Xaver & Verena Liebers. (1992). Insect hemoglobins (ChitI) of the Diptera family Chironomidae are relevant environmental, occupational, and hobby-related allergens. International Archives of Occupational and Environmental Health. 64(3). 185–188. 18 indexed citations
19.
Baur, Xaver, Verena Liebers, Grzegorz Mazur, et al.. (1991). Immunological cross‐reactivity of hemoglobins in the Diptera familiy Chironomidae. Allergy. 46(6). 445–451. 7 indexed citations
20.
Mazur, Grzegorz, Xaver Baur, & Verena Liebers. (1990). Hypersensitivity to hemoglobins of the Diptera family Chironomidae: structural and functional studies of their immunogenic/allergenic sites.. PubMed. 28. 121–37. 12 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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