Melissa Cline

20.5k total citations
53 papers, 3.6k citations indexed

About

Melissa Cline is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Melissa Cline has authored 53 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Melissa Cline's work include RNA and protein synthesis mechanisms (14 papers), Machine Learning in Bioinformatics (13 papers) and RNA Research and Splicing (13 papers). Melissa Cline is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), Machine Learning in Bioinformatics (13 papers) and RNA Research and Splicing (13 papers). Melissa Cline collaborates with scholars based in United States, Canada and Germany. Melissa Cline's co-authors include Manuel Ares, Kevin Karplus, Yael Mandel‐Gutfreund, David Haussler, Rachel Karchin, Tyson A. Clark, Mark Diekhans, Inbal Paz, Idit Kosti and Jingchun Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Melissa Cline

52 papers receiving 3.5k citations

Peers

Countries citing papers authored by Melissa Cline

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Cline

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Cline

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	When two plus four does not equal six: Combining computational and functional evidence to classify BRCA1 key domain missense substitutions 2025 ·The American Journal of Human Genetics ·(unknown), (unknown), Alun Thomas, (unknown), Melissa Cline, Nicola J. Camp, (unknown), Sean V. Tavtigian	0
2	Big advocacy, little recognition: the hidden work of Black patients in precision medicine 2023 ·Journal of Community Genetics ·(unknown), Ken Resnicow, Elena M. Stoffel, (unknown), Robert Cook‐Deegan, Melissa Cline, (unknown), (unknown), Mary A. Majumder, Zhe He	4
3	Modeling the impact of data sharing on variant classification 2022 ·Journal of the American Medical Informatics Association ·(unknown), Melissa Cline, Brian H. Shirts	4
4	Federated analysis of BRCA1 and BRCA2 variation in a Japanese cohort 2022 ·Cell Genomics ·(unknown), Michael T. Parsons, Charles Markello, Yusuke Iwasaki, Yukihide Momozawa, Amanda B. Spurdle, Melissa Cline	3
5	International federation of genomic medicine databases using GA4GH standards 2021 ·Cell Genomics ·Adrian Thorogood, Heidi L. Rehm, Peter Goodhand, Angela Page, Yann Joly, Michael Baudis, Jordi Rambla, Arcadi Navarro, Tommi Nyrönen, Mikael Lindén, Edward S. Dove, Marc Fiume, Michael Brudno, Melissa Cline, Ewan Birney	22
6	Quaking and PTB control overlapping splicing regulatory networks during muscle cell differentiation 2013 ·RNA ·Megan P. Hall, Roland Nagel, W. Samuel Fagg, Lily Shiue, Melissa Cline, Rhonda Perriman, John P. Donohue, Manuel Ares	125
7	Rbfox1 Downregulation and Altered Calpain 3 Splicing by FRG1 in a Mouse Model of Facioscapulohumeral Muscular Dystrophy (FSHD) 2013 ·PLoS Genetics ·Mariaelena Pistoni, Lily Shiue, Melissa Cline, Sergia Bortolanza, Maria Victoria Neguembor, (unknown), Manuel Ares, Davide Gabellini	32
8	The UCSC Cancer Genomics Browser: update 2013 2012 ·Nucleic Acids Research ·Mary J. Goldman, Brian Craft, Teresa Swatloski, Kyle Ellrott, Melissa Cline, Mark Diekhans, Singer Ma, (unknown), Joshua M. Stuart, David Haussler, Jingchun Zhu	129
9	Alternative splicing regulates mouse embryonic stem cell pluripotency and differentiation 2010 ·Proceedings of the National Academy of Sciences ·Nathan Salomonis, Christopher R. Schlieve, Laura Pereira, Christine Wahlquist, Alexandre R. Colas, Alexander C. Zambon, Karen Vranizan, Matthew Spindler, Alexander R. Pico, Melissa Cline, Tyson A. Clark, Alan J. Williams, John E. Blume, Eva Samal, Mark Mercola, Bradley J. Merrill, Bruce R. Conklin	175
10	Aberrant alternative splicing and extracellular matrix gene expression in mouse models of myotonic dystrophy 2010 ·Nature Structural & Molecular Biology ·(unknown), Melissa Cline, Robert J. Osborne, Daniel L. Tuttle, Tyson A. Clark, John P. Donohue, Megan P. Hall, Lily Shiue, Maurice S. Swanson, Charles A. Thornton, Manuel Ares	269
11	Understanding genome browsing 2009 ·Nature Biotechnology ·Melissa Cline, W. James Kent	20
12	Nova regulates brain-specific splicing to shape the synapse 2005 ·Nature Genetics ·Jernej Ule, Aljaž Ule, Joanna L. Spencer-Segal, Alan J. Williams, (unknown), Melissa Cline, Hui Wang, Tyson A. Clark, Claire Fraser, Matteo Ruggiu, Barry R. Zeebèrg, David W. Kane, John N. Weinstein, John E. Blume, Robert B. Darnell	390
13	ANOSVA: a statistical method for detecting splice variation from expression data 2005 ·Computer applications in the biosciences ·Melissa Cline, John E. Blume, Simon Cawley, Tyson A. Clark, Jin‐Song Hu, Gang Lu, Nathan Salomonis, Hui Wang, Alan J. Williams	42
14	Evaluation of local structure alphabets based on residue burial 2004 ·Proteins Structure Function and Bioinformatics ·Rachel Karchin, Melissa Cline, Kevin Karplus	54
15	Gene structure-based splice variant deconvolution using a microarry platform 2003 ·Bioinformatics ·Hui Wang, Earl Hubbell, (unknown), Gangwu Mei, Melissa Cline, Gang Lu, Tyson A. Clark, (unknown), Manuel Ares, David Kulp, David Haussler	82
16	Hidden Markov models that use predicted local structure for fold recognition: Alphabets of backbone geometry 2003 ·Proteins Structure Function and Bioinformatics ·Rachel Karchin, Melissa Cline, Yael Mandel‐Gutfreund, Kevin Karplus	159
17	Information‐theoretic dissection of pairwise contact potentials 2002 ·Proteins Structure Function and Bioinformatics ·Melissa Cline, Kevin Karplus, Richard H. Lathrop, Temple F. Smith, (unknown), David Haussler	44
18	Predicting reliable regions in protein sequence alignments 2002 ·Bioinformatics ·Melissa Cline, Richard Hughey, Kevin Karplus	63
19	What is the value added by human intervention in protein structure prediction? 2001 ·Proteins Structure Function and Bioinformatics ·Kevin Karplus, Rachel Karchin, Christian Barrett, (unknown), Melissa Cline, Mark Diekhans, Leslie R. Grate, Jonathan D. Casper, Richard Hughey	102
20	Predicting protein structure using hidden Markov models 1997 ·Proteins Structure Function and Bioinformatics ·Kevin Karplus, Kimmen Sjölander, Christian Barrett, Melissa Cline, David Haussler, Richard Hughey, Liisa Holm, Chris Sander	5

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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