Maureen Colbert

605 total citations
8 papers, 473 citations indexed

About

Maureen Colbert is a scholar working on Molecular Biology, Information Systems and Management and Genetics. According to data from OpenAlex, Maureen Colbert has authored 8 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Information Systems and Management and 2 papers in Genetics. Recurrent topics in Maureen Colbert's work include Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Fungal and yeast genetics research (2 papers). Maureen Colbert is often cited by papers focused on Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Fungal and yeast genetics research (2 papers). Maureen Colbert collaborates with scholars based in United States, Malaysia and Canada. Maureen Colbert's co-authors include Elwood Linney, Wayne Balkan, Lisa A. Collins‐Racie, Kenneth Jacobs, Vikki Spaulding, David Merberg, John McCoy, Ronald Kriz, Mark J. Williamson and Kerry Kelleher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Cell and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Maureen Colbert

8 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maureen Colbert United States	5	275	196	84	62	46	8	473
Kátia M.S. Cabral Brazil	8	447 1.6×	100 0.5×	101 1.2×	120 1.9×	45 1.0×	10	642
Pei Miao China	6	270 1.0×	209 1.1×	35 0.4×	35 0.6×	41 0.9×	7	482
Sabine Jung‐Klawitter Germany	13	369 1.3×	194 1.0×	70 0.8×	123 2.0×	40 0.9×	27	575
Weili Cai United States	16	435 1.6×	181 0.9×	68 0.8×	51 0.8×	43 0.9×	36	551
Kathryn E. Gardner United States	13	631 2.3×	115 0.6×	35 0.4×	136 2.2×	32 0.7×	15	863
Xinwen Zhang China	12	272 1.0×	92 0.5×	19 0.2×	72 1.2×	42 0.9×	41	494
Adam L. Felsenfeld United States	8	514 1.9×	72 0.4×	133 1.6×	228 3.7×	65 1.4×	12	735
Wei-Hua Wu United States	10	967 3.5×	157 0.8×	54 0.6×	57 0.9×	27 0.6×	10	1.0k
Rakhee Banerjee United States	10	812 3.0×	103 0.5×	59 0.7×	139 2.2×	68 1.5×	22	1.0k
Yihong Yang China	13	492 1.8×	439 2.2×	152 1.8×	34 0.5×	31 0.7×	20	848

Countries citing papers authored by Maureen Colbert

Since Specialization

Citations

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

Fields of papers citing papers by Maureen Colbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maureen Colbert

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

All Works

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8 of 8 papers shown

Crichton, Daniel, L. Cinquini, A. Mahabal, et al.. (2022). From space to biomedicine: Enabling biomarker data science in the cloud. Cancer Biomarkers. 33(4). 479–488. 2 indexed citations

Crichton, Daniel, Alphan Altınok, Christopher I. Amos, et al.. (2020). Cancer Biomarkers and Big Data: A Planetary Science Approach. Cancer Cell. 38(6). 757–760. 15 indexed citations

Crichton, Daniel, A. Mahabal, Kristen Anton, et al.. (2017). The EDRN knowledge environment: an open source, scalable informatics platform for biological sciences research. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10194. 101942A–101942A. 3 indexed citations

Wu, Tongbin, Lynn M. Schriml, Maureen Colbert, et al.. (2015). Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysis. Database. 2015(0). bav032–bav032. 30 indexed citations

Hart, Andrew F., Rishi Verma, C. A. Mattmann, et al.. (2012). Developing an open source, reusable platform for distributed collaborative information management in the Early Detection Research Network. 2. 263–270. 1 indexed citations

Jacobs, Kenneth, Lisa A. Collins‐Racie, Maureen Colbert, et al.. (1999). [26] A genetic selection for isolating cDNA clones that encode signal peptides. Methods in enzymology on CD-ROM/Methods in enzymology. 303. 468–479. 14 indexed citations

Jacobs, Kenneth, Lisa A. Collins‐Racie, Maureen Colbert, et al.. (1997). A genetic selection for isolating cDNAs encoding secreted proteins. Gene. 198(1-2). 289–296. 274 indexed citations

Balkan, Wayne, et al.. (1992). Transgenic indicator mice for studying activated retinoic acid receptors during development.. Proceedings of the National Academy of Sciences. 89(8). 3347–3351. 134 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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