Ingo Bulla

1.5k total citations
32 papers, 912 citations indexed

About

Ingo Bulla is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Ingo Bulla has authored 32 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Virology and 7 papers in Infectious Diseases. Recurrent topics in Ingo Bulla's work include Genomics and Phylogenetic Studies (9 papers), HIV Research and Treatment (9 papers) and HIV/AIDS Research and Interventions (4 papers). Ingo Bulla is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), HIV Research and Treatment (9 papers) and HIV/AIDS Research and Interventions (4 papers). Ingo Bulla collaborates with scholars based in Germany, United States and France. Ingo Bulla's co-authors include Jan Bulla, Thomas Leitner, Anne-Kathrin Schultz, Mario Stanke, Burkhard Morgenstern, Ethan Romero-Severson, Bette Korber, Ming Zhang, Oleg Nenadić and Christoph Grunau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Ingo Bulla

32 papers receiving 891 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ingo Bulla Germany	15	314	270	180	162	117	32	912
Subhas Khajanchi India	32	43 0.1×	506 1.9×	348 1.9×	108 0.7×	89 0.8×	75	3.0k
Mark Howison United States	20	79 0.3×	99 0.4×	236 1.3×	59 0.4×	182 1.6×	61	1.2k
Lauren M. Childs United States	21	56 0.2×	478 1.8×	264 1.5×	202 1.2×	123 1.1×	58	1.8k
Philippe Michel France	13	328 1.0×	150 0.6×	172 1.0×	146 0.9×	10 0.1×	52	1.1k
Wiremu Solomon New Zealand	6	137 0.4×	188 0.7×	236 1.3×	150 0.9×	116 1.0×	8	945
K. Renee Fister United States	16	68 0.2×	96 0.4×	325 1.8×	90 0.6×	19 0.2×	28	1.5k
Ming‐Chieh Lee United States	29	20 0.1×	262 1.0×	258 1.4×	92 0.6×	83 0.7×	130	2.7k
Pieter Libin Belgium	16	514 1.6×	675 2.5×	147 0.8×	325 2.0×	52 0.4×	54	1.1k
Soovoojeet Jana India	23	44 0.1×	207 0.8×	23 0.1×	96 0.6×	100 0.9×	76	1.7k
Elizabeth Halloran United States	5	26 0.1×	75 0.3×	479 2.7×	92 0.6×	86 0.7×	7	1.0k

Countries citing papers authored by Ingo Bulla

Since Specialization

Citations

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

Fields of papers citing papers by Ingo Bulla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Bulla

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

All Works

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20 of 20 papers shown

Montagnani, Caroline, Bruno Petton, Julien de Lorgeril, et al.. (2022). Early life microbial exposures shape the Crassostrea gigas immune system for lifelong and intergenerational disease protection. Microbiome. 10(1). 85–85. 40 indexed citations

Kincaid-Smith, Julien, Alan Tracey, Ronaldo de Carvalho Augusto, et al.. (2021). Morphological and genomic characterisation of the Schistosoma hybrid infecting humans in Europe reveals admixture between Schistosoma haematobium and Schistosoma bovis. PLoS neglected tropical diseases. 15(12). e0010062–e0010062. 29 indexed citations

Bulla, Ingo, et al.. (2019). Universality of the DNA methylation codes in Eucaryotes. Scientific Reports. 9(1). 173–173. 34 indexed citations

Bulla, Ingo, et al.. (2018). Notos - a galaxy tool to analyze CpN observed expected ratios for inferring DNA methylation types. BMC Bioinformatics. 19(1). 105–105. 8 indexed citations

Bulla, Ingo, et al.. (2018). Sensitivity of joint contagiousness and susceptibility-based dynamic optimal control strategies for HIV prevention. PLoS ONE. 13(10). e0204741–e0204741. 1 indexed citations

Bulla, Ingo, et al.. (2017). Numerical optimal control for HIV prevention with dynamic budget allocation. Mathematical Medicine and Biology A Journal of the IMA. 35(4). 469–491. 9 indexed citations

Martin, Tristan, Sébastien Moussay, Ingo Bulla, et al.. (2016). Exploration of Circadian Rhythms in Patients with Bilateral Vestibular Loss. PLoS ONE. 11(6). e0155067–e0155067. 36 indexed citations

Popova, Bilyana, et al.. (2015). A Robust and Versatile Method of Combinatorial Chemical Synthesis of Gene Libraries via Hierarchical Assembly of Partially Randomized Modules. PLoS ONE. 10(9). e0136778–e0136778. 7 indexed citations

Nguefack‐Tsague, Georges & Ingo Bulla. (2014). A Focused Bayesian Information Criterion. 2014. 1–8. 4 indexed citations

10.

Bulla, Ingo, et al.. (2014). A model-based information sharing protocol for profile Hidden Markov Models used for HIV-1 recombination detection. BMC Bioinformatics. 15(1). 205–205. 3 indexed citations

11.

Auwera, Sandra Van der, Ingo Bulla, Mario Ziller, et al.. (2014). ClassyFlu: Classification of Influenza A Viruses with Discriminatively Trained Profile-HMMs. PLoS ONE. 9(1). e84558–e84558. 8 indexed citations

12.

Romero-Severson, Ethan, et al.. (2014). Timing and Order of Transmission Events Is Not Directly Reflected in a Pathogen Phylogeny. Molecular Biology and Evolution. 31(9). 2472–2482. 64 indexed citations

13.

Schultz, Anne-Kathrin, Ingo Bulla, Emmanuel Gordien, et al.. (2012). jpHMM: recombination analysis in viruses with circular genomes such as the hepatitis B virus. Nucleic Acids Research. 40(W1). W193–W198. 64 indexed citations

14.

Sablok, Gaurav, et al.. (2012). Genome dynamics in three different geographical isolates of white spot syndrome virus (WSSV). Archives of Virology. 157(12). 2357–2362. 11 indexed citations

15.

Bulla, Ingo, Anne-Kathrin Schultz, & Peter Meinicke. (2012). Improving Hidden Markov Models for Classification of Human Immunodeficiency Virus-1 Subtypes through Linear Classifier Learning. Statistical Applications in Genetics and Molecular Biology. 11(1). Article 1–Article 1. 6 indexed citations

16.

Buckdahn, Rainer, et al.. (2011). Pathwise Taylor expansions for Itô random fields. Mathematical Control and Related Fields. 1(4). 437–468. 3 indexed citations

17.

Unterthiner, Thomas, Anne-Kathrin Schultz, Jan Bulla, et al.. (2011). Detection of viral sequence fragments of HIV-1 subfamilies yet unknown. BMC Bioinformatics. 12(1). 93–93. 37 indexed citations

18.

Zhang, Ming, Brian Foley, Anne-Kathrin Schultz, et al.. (2010). The role of recombination in the emergence of a complex and dynamic HIV epidemic. Retrovirology. 7(1). 25–25. 93 indexed citations

19.

Schultz, Anne-Kathrin, Ming Zhang, Ingo Bulla, et al.. (2010). jpHMM: improving the reliability of recombination prediction in HIV-1. Nucleic Acids Research. 38(3). 1059–1059. 3 indexed citations

20.

Schultz, Anne-Kathrin, Ming Zhang, Ingo Bulla, et al.. (2009). jpHMM: Improving the reliability of recombination prediction in HIV-1. Nucleic Acids Research. 37(Web Server). W647–W651. 117 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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