Maria Shin

1.7k total citations
10 papers, 552 citations indexed

About

Maria Shin is a scholar working on Molecular Biology, Ecology and Insect Science. According to data from OpenAlex, Maria Shin has authored 10 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Ecology and 2 papers in Insect Science. Recurrent topics in Maria Shin's work include Insect symbiosis and bacterial influences (2 papers), Bacteriophages and microbial interactions (2 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). Maria Shin is often cited by papers focused on Insect symbiosis and bacterial influences (2 papers), Bacteriophages and microbial interactions (2 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). Maria Shin collaborates with scholars based in United States, Austria and Canada. Maria Shin's co-authors include Patrick Chain, Stephanie Malfatti, Frank W. Larimer, Birgit Mitter, Jerzy Nowak, Alexandra Weilharter, Lisa M. Vergez, Angela Sessitsch, Loren Hauser and Miriam Land and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Journal of Bacteriology.

In The Last Decade

Maria Shin

10 papers receiving 539 citations

Peers

Maria Shin

MB

ECOLO

PS

POLLU

EE

Lisa M. Vergez United States

Claude Scarpelli France

Damien Mornico France

Chris Hayward Australia

Miguel Sánchez Chile

Q. Ren China

Lilliam Casillas-Martínez United States

Wensheng Lan China

Natalia Gottig Argentina

Annelie Elväng Sweden

Lisa M. Vergez United States

Maria Shin

306 ×1.4

MB

253 ×1.2

ECOLO

68 ×0.5

PS

95 ×0.7

POLLU

62 ×0.8

EE

Citations per year, relative to Maria Shin Maria Shin (= 1×) peers Lisa M. Vergez

Countries citing papers authored by Maria Shin

Since Specialization

Citations

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

Fields of papers citing papers by Maria Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Shin

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

All Works

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10 of 10 papers shown

1.

Bishton, Mark, Franck Morschhauser, Toby A. Eyre, et al.. (2022). Analysis of Immune Pharmacodynamic and Baseline Biomarkers in Patients with Relapsed or Refractory Follicular Lymphoma Treated with Mosunetuzumab in Combination with Lenalidomide. Blood. 140(Supplement 1). 3555–3556. 2 indexed citations

2.

Boscaro, Vittorio, Michèle Felletti, Claudia Vannini, et al.. (2013). Polynucleobacter necessarius , a model for genome reduction in both free-living and symbiotic bacteria. Proceedings of the National Academy of Sciences. 110(46). 18590–18595. 59 indexed citations

3.

Zeytun, Ahmet, Stephanie Malfatti, Lisa M. Vergez, et al.. (2012). Complete Genome Sequence of Francisella philomiragia ATCC 25017. Journal of Bacteriology. 194(12). 3266–3266. 14 indexed citations

4.

Weilharter, Alexandra, Birgit Mitter, Maria Shin, et al.. (2011). Complete Genome Sequence of the Plant Growth-Promoting\nEndophyte <i>Burkholderia phytofirmans</i> Strain PsJN. Insecta mundi. 113 indexed citations

5.

Weilharter, Alexandra, Birgit Mitter, Maria Shin, et al.. (2011). Complete Genome Sequence of the Plant Growth-Promoting Endophyte Burkholderia phytofirmans Strain PsJN. Journal of Bacteriology. 193(13). 3383–3384. 6 indexed citations

6.

Chain, Patrick, Dorothy Lang, Diego J. Comerci, et al.. (2011). Genome of Ochrobactrum anthropi ATCC 49188 ^T , a Versatile Opportunistic Pathogen and Symbiont of Several Eukaryotic Hosts. Journal of Bacteriology. 193(16). 4274–4275. 40 indexed citations

7.

Iba, Michael M., Maria Shin, & Robert J. Caccavale. (2010). Cytochromes P4501 (CYP1): Catalytic activities and inducibility by diesel exhaust particle extract and benzo[a]pyrene in intact human lung ex vivo. Toxicology. 273(1-3). 35–44. 10 indexed citations

8.

Oda, Yasuhiro, Frank W. Larimer, Patrick Chain, et al.. (2008). Multiple genome sequences reveal adaptations of a phototrophic bacterium to sediment microenvironments. Proceedings of the National Academy of Sciences. 105(47). 18543–18548. 105 indexed citations

9.

Stein, Lisa Y., Daniel J. Arp, Paul M. Berube, et al.. (2007). Whole‐genome analysis of the ammonia‐oxidizing bacterium, Nitrosomonas eutropha C91: implications for niche adaptation. Environmental Microbiology. 9(12). 2993–3007. 133 indexed citations

10.

Mavromatis, Konstantinos, C. Kuyler Doyle, A. Lykidis, et al.. (2006). The Genome of the Obligately Intracellular Bacterium Ehrlichia canis Reveals Themes of Complex Membrane Structure and Immune Evasion Strategies. Journal of Bacteriology. 188(11). 4015–4023. 70 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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