Michael H. Olma

1.3k total citations
9 papers, 930 citations indexed

About

Michael H. Olma is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Michael H. Olma has authored 9 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Michael H. Olma's work include Ubiquitin and proteasome pathways (4 papers), Microtubule and mitosis dynamics (3 papers) and DNA Repair Mechanisms (2 papers). Michael H. Olma is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Microtubule and mitosis dynamics (3 papers) and DNA Repair Mechanisms (2 papers). Michael H. Olma collaborates with scholars based in Switzerland, Germany and United States. Michael H. Olma's co-authors include Matthias Peter, Daniel W. Gerlich, Manfredo Quadroni, Izabela Sumara, Michael Held, Jan Ellenberg, Michael H. A. Schmitz, Thomas Walter, Beate Neumann and Bernd Fischer and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Molecular Cell.

In The Last Decade

Michael H. Olma

9 papers receiving 924 citations

Peers

Michael H. Olma

MB

CB

BIOPH

ONCOL

GENET

Hannes Grabner Germany

Dara J. Dunican United Kingdom

Douglas B. Wheeler United States

Silvia Muñoz‐Descalzo United Kingdom

Florence Hediger Switzerland

Daniel R. Rines United States

Emma Shanks United Kingdom

Richard Yu United States

Michael H. A. Schmitz Switzerland

Caleb J. Kennedy United States

Hannes Grabner Germany

Michael H. Olma

935 ×1.3

MB

405 ×1.6

CB

95 ×0.5

BIOPH

69 ×0.5

ONCOL

108 ×1.0

GENET

Citations per year, relative to Michael H. Olma Michael H. Olma (= 1×) peers Hannes Grabner

Countries citing papers authored by Michael H. Olma

Since Specialization

Citations

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

Fields of papers citing papers by Michael H. Olma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael H. Olma

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

All Works

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9 of 9 papers shown

1.

Patel, Misaal, et al.. (2024). Robust platform for inline Raman monitoring and control of perfusion cell culture. Biotechnology and Bioengineering. 121(5). 1688–1701. 5 indexed citations

2.

Li, Xuanwen, Nicholas A. Pierson, Bhumit A. Patel, et al.. (2022). Analytical Performance Evaluation of Identity, Quality-Attribute Monitoring and new Peak Detection in a Platform Multi-Attribute Method Using Lys-C Digestion for Characterization and Quality Control of Therapeutic Monoclonal Antibodies. Journal of Pharmaceutical Sciences. 112(3). 691–699. 14 indexed citations

3.

Schaeffer, Véronique, Masato Akutsu, Michael H. Olma, et al.. (2014). Binding of OTULIN to the PUB Domain of HOIP Controls NF-κB Signaling. Molecular Cell. 54(3). 349–361. 137 indexed citations

4.

Held, Michael, Michael H. A. Schmitz, Bernd Fischer, et al.. (2010). CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging. Nature Methods. 7(9). 747–754. 257 indexed citations

5.

Olma, Michael H., Michael Held, Patrick G. A. Pedrioli, et al.. (2010). RNAi‐based screening identifies the Mms22L–Nfkbil2 complex as a novel regulator of DNA replication in human cells. The EMBO Journal. 29(24). 4210–4222. 57 indexed citations

6.

Olma, Michael H., Marcia Roy, Thierry Le Bihan, et al.. (2009). An interaction network of the mammalian COP9 signalosome identifies Dda1 as a core subunit of multiple Cul4-based E3 ligases. Journal of Cell Science. 122(7). 1035–1044. 66 indexed citations

7.

Olma, Michael H., Patrick Steigemann, Daniel W. Gerlich, et al.. (2009). The Cul3–KLHL21 E3 ubiquitin ligase targets Aurora B to midzone microtubules in anaphase and is required for cytokinesis. The Journal of Cell Biology. 187(6). 791–800. 106 indexed citations

8.

Sumara, Izabela, Manfredo Quadroni, Claudia Frei, et al.. (2007). A Cul3-Based E3 Ligase Removes Aurora B from Mitotic Chromosomes, Regulating Mitotic Progression and Completion of Cytokinesis in Human Cells. Developmental Cell. 12(6). 887–900. 184 indexed citations

9.

Huber, Damon, Dana Boyd, Yu Xia, et al.. (2005). Use of Thioredoxin as a Reporter To Identify a Subset of Escherichia coli Signal Sequences That Promote Signal Recognition Particle-Dependent Translocation. Journal of Bacteriology. 187(9). 2983–2991. 104 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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