John Auniņš

5.1k total citations
48 papers, 1.5k citations indexed

About

John Auniņš is a scholar working on Molecular Biology, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, John Auniņš has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 16 papers in Infectious Diseases and 14 papers in Biomedical Engineering. Recurrent topics in John Auniņš's work include Viral Infectious Diseases and Gene Expression in Insects (28 papers), Virus-based gene therapy research (13 papers) and Protein purification and stability (9 papers). John Auniņš is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (28 papers), Virus-based gene therapy research (13 papers) and Protein purification and stability (9 papers). John Auniņš collaborates with scholars based in United States, Portugal and Germany. John Auniņš's co-authors include Manuel J.T. Carrondo, Weichang Zhou, Barry C. Buckland, Wei‐Shou Hu, Paula M. Alves, Daniel I. C. Wang, J. L. Moreira, Luis Maranga, Pedro E. Cruz and Colette S. Ranucci and has published in prestigious journals such as Annals of the New York Academy of Sciences, The Journal of Infectious Diseases and Applied Microbiology and Biotechnology.

In The Last Decade

John Auniņš

48 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Auniņš United States 22 1.0k 363 359 341 134 48 1.5k
José G. Vilches-Moure United States 16 489 0.5× 235 0.6× 176 0.5× 114 0.3× 55 0.4× 37 1.1k
Jean‐Paul Remon Belgium 19 499 0.5× 103 0.3× 186 0.5× 214 0.6× 66 0.5× 34 1.3k
Howard Brickner United States 18 1.0k 1.0× 84 0.2× 234 0.7× 168 0.5× 59 0.4× 31 1.5k
Nienke W. M. de Jong Netherlands 11 531 0.5× 243 0.7× 232 0.6× 153 0.4× 94 0.7× 13 1.4k
Kai Sohn Germany 26 1.2k 1.2× 281 0.8× 578 1.6× 99 0.3× 606 4.5× 64 2.3k
Erin C. Boyle Germany 20 468 0.5× 107 0.3× 277 0.8× 171 0.5× 84 0.6× 49 1.8k
Jessica L. Moore United States 24 791 0.8× 268 0.7× 227 0.6× 132 0.4× 143 1.1× 48 1.8k
Kosuke Murakami Japan 17 665 0.6× 147 0.4× 1.5k 4.2× 513 1.5× 142 1.1× 30 2.4k
Payam Fathi United States 7 803 0.8× 78 0.2× 202 0.6× 72 0.2× 135 1.0× 8 1.1k
Cécilia Martini Italy 18 518 0.5× 171 0.5× 268 0.7× 95 0.3× 172 1.3× 33 1.3k

Countries citing papers authored by John Auniņš

Since Specialization
Citations

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

Fields of papers citing papers by John Auniņš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Auniņš

This figure shows the co-authorship network connecting the top 25 collaborators of John Auniņš. A scholar is included among the top collaborators of John Auniņš 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 John Auniņš. John Auniņš 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.
McChalicher, Christopher, Mary‐Jane Lombardo, Sahil Khanna, et al.. (2023). Manufacturing Processes of a Purified Microbiome Therapeutic Reduce Risk of Transmission of Potential Bacterial Pathogens in Donor Stool. The Journal of Infectious Diseases. 228(10). 1452–1455. 4 indexed citations
2.
McChalicher, Christopher & John Auniņš. (2022). Drugging the microbiome and bacterial live biotherapeutic consortium production. Current Opinion in Biotechnology. 78. 102801–102801. 8 indexed citations
3.
Khanna, Sahil, Darrell S. Pardi, Colleen Kelly, et al.. (2016). A Novel Microbiome Therapeutic Increases Gut Microbial Diversity and Prevents RecurrentClostridium difficileInfection. The Journal of Infectious Diseases. 214(2). 173–181. 230 indexed citations
4.
Amanullah, Ashraf, José M. Otero, Amy Hsu, et al.. (2010). Novel micro‐bioreactor high throughput technology for cell culture process development: Reproducibility and scalability assessment of fed‐batch CHO cultures. Biotechnology and Bioengineering. 106(1). 57–67. 79 indexed citations
5.
Ferreira, Tiago Borges, Ana Carina Silva, Changhe Zhang, et al.. (2009). 293 cell cycle synchronisation adenovirus vector production. Biotechnology Progress. 25(1). 235–243. 17 indexed citations
6.
Hughes, Benjamin, Paul J. Meis, Julie Peltier, et al.. (2007). Establishment of Higher Passage PER.C6 Cells for Adenovirus Manufacture. Biotechnology Progress. 24(1). 158–165. 19 indexed citations
7.
Ferreira, Tiago Borges, Paula M. Alves, John Auniņš, & Manuel J.T. Carrondo. (2005). Use of adenoviral vectors as veterinary vaccines. Gene Therapy. 12(S1). S73–S83. 62 indexed citations
8.
Altaras, Nedim Emil, John Auniņš, Robert K. Evans, et al.. (2005). Production and Formulation of Adenovirus Vectors. Advances in biochemical engineering, biotechnology. 99. 193–260. 65 indexed citations
9.
Auniņš, John, Brett W. Bader, Janet M. Griffiths, et al.. (2003). Fluid Mechanics, Cell Distribution, and Environment in Cell Cube Bioreactors. Biotechnology Progress. 19(1). 2–8. 28 indexed citations
10.
Xie, Liangzhi, et al.. (2002). Serum‐free suspension cultivation of PER.C6® cells and recombinant adenovirus production under different pH conditions. Biotechnology and Bioengineering. 80(5). 569–579. 32 indexed citations
11.
Alves, Paula M., et al.. (2000). Two-dimensional versus three-dimensional culture systems: Effects on growth and productivity of BHK cells. Biotechnology and Bioengineering. 52(3). 429–432. 16 indexed citations
12.
Miller, William M., et al.. (2000). Phosphate feeding improves high-cell-concentration NS0 myeloma culture performance for monoclonal antibody production. Biotechnology and Bioengineering. 69(5). 566–576. 30 indexed citations
13.
Zhou, Weichang, et al.. (1997). Fed-batch culture of recombinant NS0 myeloma cells with high monoclonal antibody production. Biotechnology and Bioengineering. 55(5). 783–792. 100 indexed citations
14.
Buckland, Barry C. & John Auniņš. (1995). Cell culture engineering IV : improvements of human health. Kluwer Academic Publishers eBooks. 3 indexed citations
15.
Moreira, J. L., Paula M. Alves, John Auniņš, & Manuel J.T. Carrondo. (1995). Hydrodynamic effects on BHK cells grown as suspended natural aggregates. Biotechnology and Bioengineering. 46(4). 351–360. 45 indexed citations
16.
Bibila, Theodora A., et al.. (1994). Investigation of NS0 Cell Metabolic Behavior in Monoclonal Antibody Producing Clones. Annals of the New York Academy of Sciences. 745(1). 277–284. 10 indexed citations
17.
Bibila, Theodora A., et al.. (1994). Monoclonal Antibody Process Development Using Medium Concentrates. Biotechnology Progress. 10(1). 87–96. 71 indexed citations
18.
Moreira, J. L., et al.. (1994). Repeated-batch cultures of Baby Hamster Kidney cell aggregates in stirred vessels. Cytotechnology. 15(1-3). 337–349. 6 indexed citations
19.
Moreira, J. L., et al.. (1994). Studies of Baby Hamster Kidney Natural Cell Aggregation in Suspended Batch Culturesa. Annals of the New York Academy of Sciences. 745(1). 122–133. 18 indexed citations
20.
Auniņš, John & Daniel I. C. Wang. (1989). Induced flocculation of animal cells in suspension culture. Biotechnology and Bioengineering. 34(5). 629–638. 34 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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