Nello Blaser

1.1k citations
33 papers · 681 · h-index 14

Impact in

    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Virology top 10%
    • HIV Research and Treatment

Papers in

Nello Blaser

30 papers receiving 666 citations

Peers

Nello Blaser
Comparison fields: 5 of 105
  • Infectious Diseases 290
  • Virology 53
  • Statistics and Probability 73
  • Health, Toxicology and Mutagenesis 57
  • Epidemiology 74
Replace Katya Mauff with:
Katya Mauff Netherlands
Priscilla W. Gikandi Saudi Arabia
Le Bao United States
Jason J. Z. Liao United States
Cristina Mazzali Italy
Brian D. Williamson United States
Shaofa Nie China
Hongyuan Cao United States
Audrey Lavenu France
J. P. A. Ioannidis United States
Nello Blaser relative to Katya Mauff Netherlands Katya Mauff's profile →
Citations per field
00.5×7.1×
Katya Mauff · 1×
Citations per year

Countries citing papers authored by Nello Blaser

Since Specialization
Citations

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

Fields of papers citing papers by Nello Blaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nello Blaser, 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 Nello Blaser Line = papers co-authored together Nello Blaser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012143
2 2014102
3 201657
4 201846
5 201342
6 201334
7 201528
8 201326
9 201924
10 201522
11 201820
12 202018
13 201918
14 202014
15 201712
16 201412
17 20218
18 20158
19 20197
20 20207

About Nello Blaser

Nello Blaser is a scholar working on Infectious Diseases, Mathematical Physics, Computational Theory and Mathematics, Molecular Biology and Aquatic Science, having authored 33 papers that have together received 681 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), Topological and Geometric Data Analysis (4 papers), Homotopy and Cohomology in Algebraic Topology (4 papers), Aquaculture Nutrition and Growth (3 papers), Advanced Causal Inference Techniques (2 papers), Reproductive biology and impacts on aquatic species (2 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Infectious Diseases (290 citations), Virology (53 citations), Statistics and Probability (73 citations), Health, Toxicology and Mutagenesis (57 citations) and Epidemiology (74 citations). Nello Blaser has collaborated with scholars based in Norway, Switzerland and South Africa. Frequent co-authors include Janne Estill, Olivia Keiser, Luisa Salazar‐Vizcaya, Matthias Egger, Gilles Wandeler, Joshua Schwab, Susan Gruber, Maya Petersen, Mark van der Laan and Michael Schomaker. Their work appears in journals such as AIDS, The Pediatric Infectious Disease Journal, Aquatic Toxicology, Neurology Neuroimmunology & Neuroinflammation and Frontiers in Physiology.

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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