Lisa McFerrin

927 total citations
9 papers, 462 citations indexed

About

Lisa McFerrin is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Lisa McFerrin has authored 9 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Lisa McFerrin's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Ubiquitin and proteasome pathways (2 papers) and Glioma Diagnosis and Treatment (2 papers). Lisa McFerrin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Ubiquitin and proteasome pathways (2 papers) and Glioma Diagnosis and Treatment (2 papers). Lisa McFerrin collaborates with scholars based in United States, Switzerland and Germany. Lisa McFerrin's co-authors include William R. Atchley, Daniel Diolaiti, Robert N. Eisenman, Patrick A. Carroll, Daniel Raftery, Danijel Djukovic, Haiwei Gu, Sarah Anderson, Donald E. Ayer and Jianhai Du and has published in prestigious journals such as PLoS ONE, Cancer Cell and BMC Genomics.

In The Last Decade

Lisa McFerrin

9 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa McFerrin United States	8	275	158	97	77	69	9	462
Kenji Wakiya Japan	10	229 0.8×	85 0.5×	84 0.9×	28 0.4×	105 1.5×	24	477
Nicholas Bockett New Zealand	10	302 1.1×	80 0.5×	38 0.4×	37 0.5×	51 0.7×	21	497
Peter Roerig Germany	11	479 1.7×	137 0.9×	89 0.9×	66 0.9×	84 1.2×	12	645
Jennifer B. Edwards United States	8	284 1.0×	115 0.7×	113 1.2×	31 0.4×	84 1.2×	9	444
Elise Aasebø Norway	18	454 1.7×	140 0.9×	56 0.6×	25 0.3×	72 1.0×	39	734
Rana Abdel‐Fattah United States	10	212 0.8×	108 0.7×	90 0.9×	95 1.2×	80 1.2×	11	421
Devorah Gur‐Wahnon Israel	12	186 0.7×	141 0.9×	61 0.6×	25 0.3×	41 0.6×	16	396
Ayaka Otsuka Japan	10	413 1.5×	100 0.6×	56 0.6×	56 0.7×	90 1.3×	11	570
Sara Bolin United States	10	225 0.8×	61 0.4×	90 0.9×	46 0.6×	70 1.0×	13	411
Cécile Pierre‐Eugène France	11	267 1.0×	99 0.6×	42 0.4×	32 0.4×	82 1.2×	17	427

Countries citing papers authored by Lisa McFerrin

Since Specialization

Citations

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

Fields of papers citing papers by Lisa McFerrin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa McFerrin

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa McFerrin. A scholar is included among the top collaborators of Lisa McFerrin 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 Lisa McFerrin. Lisa McFerrin 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

Winters, Brian R., Navonil De Sarkar, Sonali Arora, et al.. (2019). Genomic distinctions between metastatic lower and upper tract urothelial carcinoma revealed through rapid autopsy. JCI Insight. 4(13). 23 indexed citations

Cimino, Patrick J., Lisa McFerrin, Hans‐Georg Wirsching, et al.. (2018). Copy number profiling across glioblastoma populations has implications for clinical trial design. Neuro-Oncology. 20(10). 1368–1373. 22 indexed citations

Cimino, Patrick J., Michael Zager, Lisa McFerrin, et al.. (2017). Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery. Acta Neuropathologica Communications. 5(1). 39–39. 79 indexed citations

Cheng, Heather H., Nola Klemfuss, Bruce Montgomery, et al.. (2016). A Pilot Study of Clinical Targeted Next Generation Sequencing for Prostate Cancer: Consequences for Treatment and Genetic Counseling. The Prostate. 76(14). 1303–1311. 22 indexed citations

Carroll, Patrick A., Daniel Diolaiti, Lisa McFerrin, et al.. (2015). Deregulated Myc Requires MondoA/Mlx for Metabolic Reprogramming and Tumorigenesis. Cancer Cell. 27(2). 271–285. 158 indexed citations

Diolaiti, Daniel, Lisa McFerrin, Patrick A. Carroll, & Robert N. Eisenman. (2014). Functional interactions among members of the MAX and MLX transcriptional network during oncogenesis. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(5). 484–500. 82 indexed citations

McFerrin, Lisa & William R. Atchley. (2012). A Novel N-Terminal Domain May Dictate the Glucose Response of Mondo Proteins. PLoS ONE. 7(4). e34803–e34803. 43 indexed citations

McFerrin, Lisa & Eric A. Stone. (2011). The non-random clustering of non-synonymous substitutions and its relationship to evolutionary rate. BMC Genomics. 12(1). 415–415. 4 indexed citations

McFerrin, Lisa & William R. Atchley. (2011). Evolution of the Max and Mlx Networks in Animals. Genome Biology and Evolution. 3. 915–937. 29 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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