Michael Springer

6.8k total citations · 2 hit papers
66 papers, 3.8k citations indexed

About

Michael Springer is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Michael Springer has authored 66 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 10 papers in Infectious Diseases and 8 papers in Genetics. Recurrent topics in Michael Springer's work include Fungal and yeast genetics research (13 papers), Gene Regulatory Network Analysis (11 papers) and Genomics and Chromatin Dynamics (8 papers). Michael Springer is often cited by papers focused on Fungal and yeast genetics research (13 papers), Gene Regulatory Network Analysis (11 papers) and Genomics and Chromatin Dynamics (8 papers). Michael Springer collaborates with scholars based in United States, Israel and Germany. Michael Springer's co-authors include Ron Milo, Paul Jorgensen, Uri Moran, Griffin M. Weber, Marc W. Kirschner, John Ingraham, Hanno Steen, Chris Sander, Charlotta Schärfe and Thomas A. Hopf and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael Springer

63 papers receiving 3.8k citations

Hit Papers

BioNumbers—the database of key numbers in molecular and c... 2009 2026 2014 2020 2009 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Springer United States 27 2.9k 534 338 319 299 66 3.8k
Francisco Melo Chile 26 4.0k 1.4× 396 0.7× 470 1.4× 202 0.6× 260 0.9× 70 5.5k
Alan Bridge Switzerland 23 3.1k 1.1× 458 0.9× 400 1.2× 189 0.6× 297 1.0× 44 4.1k
Ashley M. Buckle Australia 43 4.1k 1.4× 773 1.4× 232 0.7× 195 0.6× 320 1.1× 156 7.2k
Dmitrij Frishman Germany 36 6.0k 2.1× 884 1.7× 501 1.5× 198 0.6× 255 0.9× 160 7.5k
Christopher J. Williams United States 17 2.8k 1.0× 429 0.8× 260 0.8× 119 0.4× 357 1.2× 33 4.4k
Mathias Walzer Germany 13 3.2k 1.1× 353 0.7× 316 0.9× 152 0.5× 197 0.7× 20 4.9k
Matteo Dal Peraro Switzerland 43 3.5k 1.2× 635 1.2× 322 1.0× 585 1.8× 410 1.4× 139 5.6k
Johannes Schuchhardt Germany 22 4.5k 1.5× 509 1.0× 284 0.8× 167 0.5× 326 1.1× 63 6.3k
Beáta G. Vértessy Hungary 35 2.9k 1.0× 467 0.9× 207 0.6× 219 0.7× 361 1.2× 188 3.9k
Mohan Babu Canada 34 3.6k 1.2× 990 1.9× 517 1.5× 292 0.9× 116 0.4× 139 5.0k

Countries citing papers authored by Michael Springer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Springer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Springer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Springer. A scholar is included among the top collaborators of Michael Springer 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 Springer. Michael Springer 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.
Soltysiak, Maximillian P. M., et al.. (2025). Expansion and revision of the genus Xanthobacter and proposal of Roseixanthobacter gen. nov.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 75(9). 1 indexed citations
2.
Soltysiak, Maximillian P. M., et al.. (2025). XanthoMoClo─A Robust Modular Cloning Genetic Toolkit for the Genera Xanthobacter and Roseixanthobacter. ACS Synthetic Biology. 14(4). 1173–1190. 1 indexed citations
3.
Brock-Fisher, Taylor, Brittany A. Petros, Gage K. Moreno, et al.. (2024). Severe Acute Respiratory Syndrome Coronavirus 2 Household Transmission During the Omicron Era in Massachusetts: A Prospective, Case-Ascertained Study Using Genomic Epidemiology. Open Forum Infectious Diseases. 11(11). ofae591–ofae591.
4.
Jalihal, Amogh P., et al.. (2023). Quantitatively assessing early detection strategies for mitigating COVID-19 and future pandemics. Nature Communications. 14(1). 8479–8479. 3 indexed citations
5.
Walworth, Nathan G., Neil C. Dalvie, Christopher L. Dupont, et al.. (2023). Microbial Catalysis for CO2Sequestration: A Geobiological Approach. Cold Spring Harbor Perspectives in Biology. 16(5). a041673–a041673. 3 indexed citations
6.
Ricci-Tam, Chiara, et al.. (2021). Decoupling transcription factor expression and activity enables dimmer switch gene regulation. Science. 372(6539). 292–295. 32 indexed citations
7.
Hua, Bo, et al.. (2021). Computational analysis of GAL pathway pinpoints mechanisms underlying natural variation. PLoS Computational Biology. 17(9). e1008691–e1008691. 1 indexed citations
8.
Davidi, Dan, Susan Fitzgerald, Catherine M. Klapperich, et al.. (2021). Amplicon residues in research laboratories masquerade as COVID-19 in surveillance tests. Cell Reports Methods. 1(1). 100005–100005. 9 indexed citations
9.
Hua, Bo, et al.. (2020). Computational study on ratio-sensing in yeast galactose utilization pathway. PLoS Computational Biology. 16(12). e1007960–e1007960. 3 indexed citations
10.
Hua, Bo & Michael Springer. (2018). Widespread Cumulative Influence of Small Effect Size Mutations on Yeast Quantitative Traits. Cell Systems. 7(6). 590–600.e6. 6 indexed citations
11.
Savir, Yonatan, Sean M. Carroll, John Ingraham, et al.. (2015). Galactose metabolic genes in yeast respond to a ratio of galactose and glucose. Proceedings of the National Academy of Sciences. 112(5). 1636–1641. 92 indexed citations
12.
Stefan, Melanie I., et al.. (2015). The Quantitative Methods Boot Camp: Teaching Quantitative Thinking and Computing Skills to Graduate Students in the Life Sciences. PLoS Computational Biology. 11(4). e1004208–e1004208. 25 indexed citations
13.
Marquardt, Sebastian, Renan Escalante-Chong, Nam Pho, et al.. (2014). A Chromatin-Based Mechanism for Limiting Divergent Noncoding Transcription. Cell. 157(7). 1712–1723. 89 indexed citations
14.
Lim, Sze Chern, Justine E. Marum, Elena J. Tucker, et al.. (2013). Mutations in LYRM4, encoding iron–sulfur cluster biogenesis factor ISD11, cause deficiency of multiple respiratory chain complexes. Human Molecular Genetics. 22(22). 4460–4473. 81 indexed citations
15.
Merbl, Yifat, et al.. (2013). Profiling of Ubiquitin-like Modifications Reveals Features of Mitotic Control. Cell. 152(5). 1160–1172. 87 indexed citations
16.
DeLuna, Alexander, Michael Springer, Marc W. Kirschner, & Roy Kishony. (2010). Need-Based Up-Regulation of Protein Levels in Response to Deletion of Their Duplicate Genes. PLoS Biology. 8(3). e1000347–e1000347. 66 indexed citations
17.
Milo, Ron, et al.. (2007). The relationship between evolutionary and physiological variation in hemoglobin. Proceedings of the National Academy of Sciences. 104(43). 16998–17003. 29 indexed citations
18.
Palazzo, Alexander F., Michael Springer, Yoko Shibata, et al.. (2007). The Signal Sequence Coding Region Promotes Nuclear Export of mRNA. PLoS Biology. 5(12). e322–e322. 96 indexed citations
19.
Mawrin, Christian, et al.. (2006). Role of Altered Regulation of the Creb–Dependent Genes C–fos and Bcl–2 Following Acute Optic Nerve Damage for Retinal Ganglion Cell Death. Investigative Ophthalmology & Visual Science. 47(13). 729–729. 1 indexed citations
20.
Wang, David, Anatoly Urisman, Yu‐Tsueng Liu, et al.. (2003). Viral Discovery and Sequence Recovery Using DNA Microarrays. PLoS Biology. 1(2). e2–e2. 326 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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