John Auniņš

5.1k citations
48 papers · 1.5k indexed · h-index 22

John Auniņš

48 papers receiving 1.4k citations

Peers

John Auniņš
Comparison fields: 5 of 118
  • Infectious Diseases 359
  • Gastroenterology 93
  • Molecular Biology 1.0k
  • Genetics 341
  • Biotechnology 95
Replace José G. Vilches-Moure with:
José G. Vilches-Moure United States
Seán O. Hynes Ireland
Cécilia Martini Italy
Jean‐Paul Remon Belgium
Nienke W. M. de Jong Netherlands
Julia Y. Co United States
Magdalena Chmiela Poland
Durai B. Subramani United States
Howard Brickner United States
Andreas Sziegoleit Germany
John Auniņš relative to José G. Vilches-Moure United States José G. Vilches-Moure's profile →
Citations per field
00.5×10.8×
José G. Vilches-Moure · 1×
Citations per year

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

The 25 scholars most cited alongside John Auniņš, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Auniņš Line = papers co-authored together John Auniņš links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20228
3 2016230
4 201079
5 200917
6 200719
7 200562
8 200565
9 200328
10 200232
11 200016
12 200030
13 1997100
14
Cell culture engineering IV : improvements of human health
19953
15 199545
16 199410
17 199471
18 19946
19 199418
20 198934

About John Auniņš

John Auniņš is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Molecular Biology, Hepatology and Filtration and Separation, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (28 papers), Virus-based gene therapy research (13 papers), Protein purification and stability (9 papers), Clostridium difficile and Clostridium perfringens research (9 papers), Gut microbiota and health (9 papers), Viral gastroenteritis research and epidemiology (8 papers), 3D Printing in Biomedical Research (6 papers) and Fluid Dynamics and Mixing (5 papers). The work is most often cited by research in Infectious Diseases (359 citations), Gastroenterology (93 citations), Molecular Biology (1.0k citations), Genetics (341 citations) and Biotechnology (95 citations). John Auniņš has collaborated with scholars based in United States, Portugal and Germany. Frequent 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. Their work appears in journals such as Biotechnology and Bioengineering, Biotechnology Progress, Open Forum Infectious Diseases, Advances in biochemical engineering, biotechnology and Bioprocess and Biosystems Engineering.

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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