Frank Follmann

2.9k total citations
49 papers, 2.2k citations indexed

About

Frank Follmann is a scholar working on Microbiology, Immunology and Epidemiology. According to data from OpenAlex, Frank Follmann has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Microbiology, 24 papers in Immunology and 22 papers in Epidemiology. Recurrent topics in Frank Follmann's work include Reproductive tract infections research (34 papers), Reproductive System and Pregnancy (14 papers) and Cervical Cancer and HPV Research (13 papers). Frank Follmann is often cited by papers focused on Reproductive tract infections research (34 papers), Reproductive System and Pregnancy (14 papers) and Cervical Cancer and HPV Research (13 papers). Frank Follmann collaborates with scholars based in Denmark, United Kingdom and Sweden. Frank Follmann's co-authors include Peter Andersen, Anja Weinreich Olsen, Ida Rosenkrands, Inger Brock, Michael Theisen, Karin Weldingh, Troels Lillebæk, Else Marie Agger, Dennis Christensen and Jørgen Steen Agerholm and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Frank Follmann

48 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Follmann Denmark 25 974 939 814 688 487 49 2.2k
Anja Weinreich Olsen Denmark 22 1.1k 1.2× 1.4k 1.5× 596 0.7× 1.4k 2.0× 550 1.1× 39 2.4k
Francis O. Eko United States 28 752 0.8× 1.1k 1.1× 1.1k 1.4× 307 0.4× 351 0.7× 72 2.2k
Joseph U. Igietseme United States 33 1.1k 1.1× 1.3k 1.4× 1.7k 2.0× 234 0.3× 387 0.8× 91 2.8k
Pamela A. Kozlowski United States 31 1.2k 1.2× 1.8k 1.9× 387 0.5× 828 1.2× 617 1.3× 76 3.4k
Ashlesh K. Murthy United States 24 627 0.6× 875 0.9× 937 1.2× 316 0.5× 663 1.4× 60 1.9k
Natalia Cheshenko United States 28 1.0k 1.1× 728 0.8× 717 0.9× 629 0.9× 595 1.2× 38 2.4k
Gregers Jungersen Denmark 28 918 0.9× 622 0.7× 428 0.5× 654 1.0× 502 1.0× 96 2.7k
H. M. Vordermeier United Kingdom 22 1.0k 1.0× 539 0.6× 255 0.3× 1.2k 1.7× 333 0.7× 36 1.6k
Frank E. Aldwell New Zealand 27 1.2k 1.2× 1.0k 1.1× 280 0.3× 1.7k 2.5× 399 0.8× 66 2.3k
George Mutwiri Canada 36 938 1.0× 2.2k 2.4× 731 0.9× 796 1.2× 970 2.0× 108 4.0k

Countries citing papers authored by Frank Follmann

Since Specialization
Citations

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

Fields of papers citing papers by Frank Follmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Follmann

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Follmann. A scholar is included among the top collaborators of Frank Follmann 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 Frank Follmann. Frank Follmann 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
2.
Rosenkrands, Ida, Anja Weinreich Olsen, Helene Bæk Juel, et al.. (2024). Human antibody signatures towards the Chlamydia trachomatis major outer membrane protein after natural infection and vaccination. EBioMedicine. 104. 105140–105140. 3 indexed citations
3.
Rosenkrands, Ida, Harry Pickering, Nkoyo Faal, et al.. (2023). A systems serology approach to the investigation of infection-induced antibody responses and protection in trachoma. Frontiers in Immunology. 14. 1178741–1178741. 2 indexed citations
4.
Olsen, Anja Weinreich, Ida Rosenkrands, Martin J. Holland, Peter Andersen, & Frank Follmann. (2021). A Chlamydia trachomatis VD1-MOMP vaccine elicits cross-neutralizing and protective antibodies against C/C-related complex serovars. npj Vaccines. 6(1). 58–58. 18 indexed citations
5.
McEntee, Craig P., Natalia Muñoz‐Wolf, Lei Jin, et al.. (2021). Chitin-derived polymer deacetylation regulates mitochondrial reactive oxygen species dependent cGAS-STING and NLRP3 inflammasome activation. Biomaterials. 275. 120961–120961. 42 indexed citations
6.
Olsen, Anja Weinreich, et al.. (2021). Th1/Th17 T cell Tissue-Resident Immunity Increases Protection, But Is Not Required in a Vaccine Strategy Against Genital Infection With Chlamydia trachomatis. Frontiers in Immunology. 12. 790463–790463. 15 indexed citations
8.
McEntee, Craig P., Natalia Muñoz‐Wolf, Elizabeth C. Carroll, et al.. (2019). Type I IFN signalling is required for cationic adjuvant formulation (CAF)01-induced cellular immunity and mucosal priming. Vaccine. 38(3). 635–643. 4 indexed citations
9.
Follmann, Frank, Jan Bojsen‐Møller Secher, Sandra Goericke‐Pesch, et al.. (2017). Intrauterine inoculation of minipigs with Chlamydia trachomatis during diestrus establishes a longer lasting infection compared to vaginal inoculation during estrus. Microbes and Infection. 19(6). 334–342. 14 indexed citations
11.
Østergaard, Ole, Frank Follmann, Anja Weinreich Olsen, et al.. (2016). Quantitative Protein Profiling of Chlamydia trachomatis Growth Forms Reveals Defense Strategies Against Tryptophan Starvation. Molecular & Cellular Proteomics. 15(12). 3540–3550. 24 indexed citations
12.
Badamchi-Zadeh, Alexander, Paul F. McKay, Bette Korber, et al.. (2016). A Multi-Component Prime-Boost Vaccination Regimen with a Consensus MOMP Antigen Enhances Chlamydia trachomatis Clearance. Frontiers in Immunology. 7. 162–162. 24 indexed citations
13.
Olsen, Anja Weinreich, Peter Andersen, Joseph P. Cassidy, et al.. (2016). Genital tract lesions in sexually mature Göttingen minipigs during the initial stages of experimental vaginal infection with Chlamydia trachomatis serovar D. BMC Veterinary Research. 12(1). 200–200. 9 indexed citations
15.
Rose, Fabrice, Páll Thor Ingvarsson, Marco van de Weert, et al.. (2015). Engineering of a novel adjuvant based on lipid-polymer hybrid nanoparticles: A quality-by-design approach. Journal of Controlled Release. 210. 48–57. 75 indexed citations
16.
17.
Badamchi-Zadeh, Alexander, Paul F. McKay, Martin J. Holland, et al.. (2015). Intramuscular Immunisation with Chlamydial Proteins Induces Chlamydia trachomatis Specific Ocular Antibodies. PLoS ONE. 10(10). e0141209–e0141209. 17 indexed citations
19.
Hansen, Jon, Klaus T. Jensen, Frank Follmann, et al.. (2008). Liposome Delivery ofChlamydia muridarumMajor Outer Membrane Protein Primes a Th1 Response That Protects against Genital Chlamydial Infection in a Mouse Model1. The Journal of Infectious Diseases. 198(5). 758–767. 59 indexed citations
20.
Brock, Inger, Karin Weldingh, Troels Lillebæk, Frank Follmann, & Peter Andersen. (2004). Comparison of Tuberculin Skin Test and New Specific Blood Test in Tuberculosis Contacts. American Journal of Respiratory and Critical Care Medicine. 170(1). 65–69. 277 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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