Michelle M. Spiering

42 total papers · 1.4k total citations
30 papers, 1.1k citations indexed

About

Michelle M. Spiering is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Michelle M. Spiering has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Genetics and 12 papers in Ecology. Recurrent topics in Michelle M. Spiering's work include DNA and Nucleic Acid Chemistry (14 papers), Bacterial Genetics and Biotechnology (13 papers) and DNA Repair Mechanisms (13 papers). Michelle M. Spiering is often cited by papers focused on DNA and Nucleic Acid Chemistry (14 papers), Bacterial Genetics and Biotechnology (13 papers) and DNA Repair Mechanisms (13 papers). Michelle M. Spiering collaborates with scholars based in United States, France and Spain. Michelle M. Spiering's co-authors include Stephen J. Benkovic, Vincent Croquette, Michael A. Marletta, Kristin M. Rusche, Maria Mañosas, David Bensimon, Fangyuan Ding, Ayusman Sen, Zhihao Zhuang and Timothée Lionnet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Michelle M. Spiering

29 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michelle M. Spiering 688 237 213 162 143 30 1.1k
Kristina A. Ganzinger 792 1.2× 76 0.3× 180 0.8× 33 0.2× 390 2.7× 29 1.4k
Elena F. Koslover 844 1.2× 297 1.3× 101 0.5× 49 0.3× 25 0.2× 50 1.2k
Randal B. Bass 1.2k 1.8× 390 1.6× 110 0.5× 89 0.5× 195 1.4× 14 1.4k
Adam J. M. Wollman 728 1.1× 150 0.6× 160 0.8× 92 0.6× 22 0.2× 37 1.0k
Irina A. Shkel 996 1.4× 276 1.2× 259 1.2× 144 0.9× 26 0.2× 34 1.4k
Matías Machado 970 1.4× 67 0.3× 125 0.6× 174 1.1× 58 0.4× 31 1.2k
Jason D. Perlmutter 964 1.4× 107 0.5× 111 0.5× 377 2.3× 69 0.5× 22 1.5k
Chris Gell 693 1.0× 79 0.3× 75 0.4× 67 0.4× 43 0.3× 22 1.0k
B. Prescott 674 1.0× 94 0.4× 121 0.6× 175 1.1× 24 0.2× 40 1.4k
Alexandra Zidovska 1.1k 1.6× 124 0.5× 187 0.9× 21 0.1× 30 0.2× 39 1.5k

Countries citing papers authored by Michelle M. Spiering

Since Specialization
Citations

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

Fields of papers citing papers by Michelle M. Spiering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle M. Spiering. 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 Michelle M. Spiering. The network helps show where Michelle M. Spiering may publish in the future.

Co-authorship network of co-authors of Michelle M. Spiering

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

All Works

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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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