Mark Grivainis

443 total citations
8 papers, 254 citations indexed

About

Mark Grivainis is a scholar working on Plant Science, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mark Grivainis has authored 8 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mark Grivainis's work include Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (4 papers) and Maternal and fetal healthcare (2 papers). Mark Grivainis is often cited by papers focused on Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (4 papers) and Maternal and fetal healthcare (2 papers). Mark Grivainis collaborates with scholars based in United States, Netherlands and Germany. Mark Grivainis's co-authors include David Fenyö, Jef D. Boeke, Zuojian Tang, Kathleen H. Burns, Xuya Wang, Paolo Mita, Jared P. Steranka, Cheng Ran Lisa Huang, Chi Young Yun and Xiaoji Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Journal of Obstetrics and Gynecology and Journal of Medical Internet Research.

In The Last Decade

Mark Grivainis

8 papers receiving 251 citations

Peers

Countries citing papers authored by Mark Grivainis

Since Specialization

Citations

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

Fields of papers citing papers by Mark Grivainis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Grivainis

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

#	Work	Indexed citations
1	Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study 2022 ·Journal of Medical Internet Research ·(unknown), (unknown), (unknown), Mark Grivainis, Iffath A. Hoskins, David Fenyö	21
2	LINE-1 expression in cancer correlates with p53 mutation, copy number alteration, and S phase checkpoint 2022 ·Proceedings of the National Academy of Sciences ·Wilson McKerrow, Xuya Wang, Carlos Mendez‐Dorantes, Paolo Mita, Song Cao, Mark Grivainis, Li Ding, John LaCava, Kathleen H. Burns, Jef D. Boeke, David Fenyö	45
3	Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics 2021 ·Journal of Proteome Research ·Paolo Cifani, (unknown), Danmeng Luo, Mark Grivainis, Andrew M. Intlekofer, David Fenyö, Alex Kentsis	13
4	Transposon insertion profiling by sequencing (TIPseq) for mapping LINE-1 insertions in the human genome 2019 ·Mobile DNA ·Jared P. Steranka, Zuojian Tang, Mark Grivainis, Cheng Ran Lisa Huang, Lindsay M. Payer, (unknown), (unknown), Pedro A. F. Galante, Sitharam Ramaswami, Adriana Heguy, David Fenyö, Jef D. Boeke, Kathleen H. Burns	20
5	638: Prediction of maternal hemorrhage: using machine learning to identify patients at risk 2019 ·American Journal of Obstetrics and Gynecology ·(unknown), (unknown), Wenke Liu, Mark Grivainis, David L. Keefe, Iffath A. Hoskins, David Fenyö	3
6	Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression 2018 ·Proceedings of the National Academy of Sciences ·Xiaoji Sun, Xuya Wang, Zuojian Tang, Mark Grivainis, David J. Kahler, Chi Young Yun, Paolo Mita, David Fenyö, Jef D. Boeke	65
7	Human transposon insertion profiling: Analysis, visualization and identification of somatic LINE-1 insertions in ovarian cancer 2017 ·Proceedings of the National Academy of Sciences ·Zuojian Tang, Jared P. Steranka, Sisi Ma, Mark Grivainis, Nemanja Rodić, Cheng Ran Lisa Huang, Ie‐Ming Shih, Tian‐Li Wang, Jef D. Boeke, David Fenyö, Kathleen H. Burns	68
8	Somatic retrotransposition is infrequent in glioblastomas 2016 ·Mobile DNA ·Pragathi Achanta, Jared P. Steranka, Zuojian Tang, Nemanja Rodić, Reema Sharma, Wan Rou Yang, Sisi Ma, Mark Grivainis, Cheng Ran Lisa Huang, A.M. Schneider, Gary L. Gallia, Gregory J. Riggins, Alfredo Quiñones‐Hinojosa, David Fenyö, Jef D. Boeke, Kathleen H. Burns	19

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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