Heinrich Neubauer

12.5k total citations
340 papers, 9.2k citations indexed

About

Heinrich Neubauer is a scholar working on Epidemiology, Small Animals and Food Science. According to data from OpenAlex, Heinrich Neubauer has authored 340 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Epidemiology, 119 papers in Small Animals and 93 papers in Food Science. Recurrent topics in Heinrich Neubauer's work include Brucella: diagnosis, epidemiology, treatment (116 papers), Burkholderia infections and melioidosis (112 papers) and Yersinia bacterium, plague, ectoparasites research (56 papers). Heinrich Neubauer is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (116 papers), Burkholderia infections and melioidosis (112 papers) and Yersinia bacterium, plague, ectoparasites research (56 papers). Heinrich Neubauer collaborates with scholars based in Germany, Egypt and Pakistan. Heinrich Neubauer's co-authors include Sascha Al Dahouk, Herbert Tomaso, Falk Melzer, Holger C. Scholz, Gamal Wareth, Peter Heil, Karsten Nöckler, Hosny El‐Adawy, Lisa Sprague and Gilles Vergnaud and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Heinrich Neubauer

334 papers receiving 8.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heinrich Neubauer Germany 48 3.9k 3.2k 3.0k 1.6k 1.5k 340 9.2k
Renato L. Santos Brazil 45 2.1k 0.5× 1.6k 0.5× 2.7k 0.9× 1.6k 1.0× 1.7k 1.1× 304 7.8k
Herbert Tomaso Germany 41 2.1k 0.6× 1.7k 0.5× 1.8k 0.6× 1.5k 0.9× 773 0.5× 181 5.3k
Eystein Skjerve Norway 50 2.1k 0.5× 1.5k 0.5× 2.1k 0.7× 952 0.6× 2.2k 1.4× 262 8.0k
Adrian M. Whatmore United Kingdom 43 3.4k 0.9× 2.7k 0.8× 2.3k 0.8× 828 0.5× 933 0.6× 120 6.3k
L. Garry Adams United States 41 1.9k 0.5× 1.4k 0.4× 2.1k 0.7× 2.3k 1.4× 1.7k 1.1× 186 7.0k
Sascha Al Dahouk Germany 41 3.6k 0.9× 2.4k 0.8× 2.6k 0.9× 1.0k 0.7× 330 0.2× 132 5.8k
Frank Pasmans Belgium 60 1.3k 0.3× 892 0.3× 4.7k 1.6× 2.3k 1.4× 3.4k 2.2× 444 15.0k
Jean‐Jacques Letesson Belgium 51 4.6k 1.2× 2.4k 0.7× 1.8k 0.6× 1.6k 1.0× 486 0.3× 176 7.5k
Lucas Domı́nguez Spain 54 976 0.3× 3.8k 1.2× 2.1k 0.7× 2.1k 1.4× 4.4k 2.8× 448 11.3k
Bruno Goddeeris Belgium 53 887 0.2× 1.9k 0.6× 1.1k 0.4× 2.1k 1.3× 1.9k 1.2× 312 9.5k

Countries citing papers authored by Heinrich Neubauer

Since Specialization
Citations

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

Fields of papers citing papers by Heinrich Neubauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heinrich Neubauer

This figure shows the co-authorship network connecting the top 25 collaborators of Heinrich Neubauer. A scholar is included among the top collaborators of Heinrich Neubauer 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 Heinrich Neubauer. Heinrich Neubauer 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.
Algammal, Abdelazeem M., Saad Alghamdi, Ahmed Kabrah, et al.. (2025). Virulence traits, agr typing, multidrug resistance patterns, and biofilm ability of MDR Staphylococcus aureus recovered from clinical and subclinical mastitis in dairy cows. BMC Microbiology. 25(1). 155–155. 4 indexed citations
2.
Anjorin, AbdulAzeez Adeyemi, et al.. (2025). Comprehensive molecular epidemiology of Acinetobacter baumannii from diverse sources in Nigeria. BMC Microbiology. 25(1). 178–178.
3.
Ali, Shahzad, Muhammad Ali Syed, Falk Melzer, et al.. (2024). Seroprevalence and molecular detection of brucellosis among Pakistani women with spontaneous abortion. Frontiers in Public Health. 12. 1372327–1372327. 2 indexed citations
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Galante, Domenico, et al.. (2023). Retrospective Analysis of Official Data on Anthrax in Europe with a Special Reference to Ukraine. Microorganisms. 11(5). 1294–1294. 13 indexed citations
6.
Moawad, Amira A., Hosny El‐Adawy, Jörg Linde, et al.. (2023). Whole genome sequence-based analysis of Staphylococcus aureus isolated from bovine mastitis in Thuringia, Germany. Frontiers in Microbiology. 14. 1216850–1216850. 7 indexed citations
7.
Sandalakis, Vassilios, Evridiki Boukouvala, Athanasia Christidou, et al.. (2023). Genotype diversity of brucellosis agents isolated from humans and animals in Greece based on whole-genome sequencing. BMC Infectious Diseases. 23(1). 529–529. 12 indexed citations
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Jamil, Tariq, Falk Melzer, Muhammad Saqib, et al.. (2020). Revisiting Brucellosis in Small Ruminants of Western Border Areas in Pakistan. Pathogens. 9(11). 929–929. 13 indexed citations
11.
Moawad, Amira A., Thomas Bocklitz, Katja Fischer, et al.. (2019). A Machine Learning-Based Raman Spectroscopic Assay for the Identification of Burkholderia mallei and Related Species. Molecules. 24(24). 4516–4516. 26 indexed citations
12.
Sin, Muna Abu, Tim Eckmanns, Heinrich Neubauer, et al.. (2018). The zoonotic potential of Clostridium difficile from small companion animals and their owners. PLoS ONE. 13(2). e0193411–e0193411. 57 indexed citations
13.
Seyboldt, Christian, Guenter Klein, Heinrich Neubauer, et al.. (2016). Detection of Clostridium botulinum neurotoxin genes (A–F) in dairy farms from Northern Germany using PCR: A case-control study. Anaerobe. 39. 97–104. 8 indexed citations
14.
Rahman, Md Siddiqur, et al.. (2014). The prevalence of Brucella abortus DNA in seropositive bovine sera in Bangladesh. African Journal of Microbiology Research. 8(48). 3856–3860. 8 indexed citations
15.
Khan, Iahtasham, Shajeea Arshad Ali, Mayada Gwida, et al.. (2013). Prevalence of Burkholderia mallei in equids of remount depot, Sargodha, Pakistan.. Pakistan Journal of Zoology. 45(6). 1751–1756. 6 indexed citations
16.
Ali, Shahzad, Qurban Ali, Heinrich Neubauer, et al.. (2013). Seroprevalence and Risk Factors Associated with Brucellosis as a Professional Hazard in Pakistan. Foodborne Pathogens and Disease. 10(6). 500–505. 52 indexed citations
17.
Conraths, Franz J., Helen Bernard, K. Henning, Matthias Krämer, & Heinrich Neubauer. (2010). Q-Fieber: Zur aktuellen Situation in Deutschland und den Niederlanden. Tierärztliche Umschau. 65. 152–159. 1 indexed citations
18.
Dahouk, Sascha Al, Karsten Nöckler, Holger C. Scholz, et al.. (2007). Evaluation of genus-specific and species-specific real-time PCR assays for the identification of Brucella spp.. Clinical Chemistry and Laboratory Medicine (CCLM). 45(11). 1464–70. 45 indexed citations
19.
Splettstößer, W., et al.. (2006). Renaissance der Tularämie ("Hasenpest"). OpenAgrar. 1 indexed citations
20.
Scholz, Holger C., Angela Witte, Herbert Tomaso, Sascha Al Dahouk, & Heinrich Neubauer. (2005). Genotyping ofChromobacterium violaceumisolates byrecAPCR-RFLP analysis. FEMS Microbiology Letters. 244(2). 347–352. 7 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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