Michael Pieler

897 total citations · 1 hit paper
10 papers, 347 citations indexed

About

Michael Pieler is a scholar working on Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Pieler has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Pieler's work include Protein purification and stability (5 papers), Influenza Virus Research Studies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Michael Pieler is often cited by papers focused on Protein purification and stability (5 papers), Influenza Virus Research Studies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Michael Pieler collaborates with scholars based in Germany and United States. Michael Pieler's co-authors include Udo Reichl, Michael W. Wolff, Pavel Marichal‐Gallardo, Quentin Anthony, Laria Reynolds, Jason Phang, Ben Wang, Samuel Weinbach, Leo Gao and Stella Biderman and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Vaccine.

In The Last Decade

Michael Pieler

10 papers receiving 331 citations

Hit Papers

GPT-NeoX-20B: An Open-Source Autoregressive Language Model 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GPT-NeoX-20B: An Open-Source Autoregressive Language Model
    2022 235 citations Stella Biderman, Quentin Anthony et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pieler Germany 5 177 72 52 45 42 10 347
Tony C. Smith New Zealand 8 77 0.4× 101 1.4× 38 0.7× 66 1.5× 34 0.8× 20 332
Anna Bernasconi Italy 10 42 0.2× 183 2.5× 101 1.9× 34 0.8× 17 0.4× 46 328
Mourad Elloumi Tunisia 10 85 0.5× 172 2.4× 9 0.2× 26 0.6× 29 0.7× 50 351
G. Manjunath India 9 156 0.9× 69 1.0× 16 0.3× 14 0.3× 15 0.4× 31 338
Hongguang Fu China 8 65 0.4× 143 2.0× 19 0.4× 19 0.4× 18 0.4× 27 323
Olugbenga Oluwagbemi Nigeria 11 48 0.3× 100 1.4× 36 0.7× 10 0.2× 19 0.5× 37 317
Arif Canakoglu Italy 10 46 0.3× 188 2.6× 59 1.1× 26 0.6× 21 0.5× 29 274
Troy A. Johnson United States 11 17 0.1× 122 1.7× 29 0.6× 41 0.9× 28 0.7× 22 374
Roberto Tedesco Brazil 14 68 0.4× 59 0.8× 10 0.2× 23 0.5× 51 1.2× 60 472
Shannon Bradshaw United States 10 109 0.6× 113 1.6× 27 0.5× 35 0.8× 110 2.6× 24 430

Countries citing papers authored by Michael Pieler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pieler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pieler

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

All Works

10 of 10 papers shown
1.
Pieler, Michael, et al.. (2023). Few-shot Adaptation Works with UnpredicTable Data. 1806–1842. 1 indexed citations
2.
Biderman, Stella, Quentin Anthony, Leo Gao, et al.. (2022). GPT-NeoX-20B: An Open-Source Autoregressive Language Model. 95–136. 235 indexed citations breakdown →
3.
Marichal‐Gallardo, Pavel, Kathleen Börner, Michael Pieler, et al.. (2021). Single-Use Capture Purification of Adeno-Associated Viral Gene Transfer Vectors by Membrane-Based Steric Exclusion Chromatography. Human Gene Therapy. 32(17-18). 959–974. 33 indexed citations
4.
Pieler, Michael, René Hennig, Erdmann Rapp, et al.. (2017). Influence of the production system on the surface properties of influenza A virus particles. Engineering in Life Sciences. 17(10). 1071–1077. 4 indexed citations
5.
Marichal‐Gallardo, Pavel, Michael Pieler, Michael W. Wolff, & Udo Reichl. (2016). Steric exclusion chromatography for purification of cell culture-derived influenza A virus using regenerated cellulose membranes and polyethylene glycol. Journal of Chromatography A. 1483. 110–119. 50 indexed citations
6.
7.
Genzel, Yvonne, et al.. (2016). Intensification of MVA and influenza virus production through high-cell-density cultivation approaches. 1 indexed citations
8.
Pieler, Michael, et al.. (2016). Specific ion effects on the particle size distributions of cell culture–derived influenza A virus particles within the Hofmeister series. Engineering in Life Sciences. 17(5). 470–478. 12 indexed citations
9.
10.
Pieler, Michael, et al.. (2014). Investigation of Virus Aggregation on Performance of Downstream Processing in Influenza Vaccine Manufacturing. Chemie Ingenieur Technik. 86(9). 1588–1588. 4 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.

Explore authors with similar magnitude of impact

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2026