Gregory Hannum

7.0k total citations · 2 hit papers
9 papers, 3.7k citations indexed

About

Gregory Hannum is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Gregory Hannum has authored 9 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Genetics. Recurrent topics in Gregory Hannum's work include Prenatal Screening and Diagnostics (3 papers), Bioinformatics and Genomic Networks (3 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Gregory Hannum is often cited by papers focused on Prenatal Screening and Diagnostics (3 papers), Bioinformatics and Genomic Networks (3 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Gregory Hannum collaborates with scholars based in United States, China and Netherlands. Gregory Hannum's co-authors include Kang Zhang, Trey Ideker, Stephen Friend, Yuan Gao, Marina Bibikova, Brandy Klotzle, SriniVas R. Sadda, Ling Zhao, Indika Rajapakse and Guy Hughes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Biological Psychiatry.

In The Last Decade

Gregory Hannum

9 papers receiving 3.7k citations

Hit Papers

Genome-wide Methylation Profiles Reveal Quantitative View... 2007 2026 2013 2019 2012 2007 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Hannum United States 9 2.7k 878 626 473 294 9 3.7k
Ling Zhao China 29 3.9k 1.5× 681 0.8× 659 1.1× 717 1.5× 474 1.6× 116 6.2k
SriniVas R. Sadda United States 14 2.0k 0.7× 611 0.7× 435 0.7× 461 1.0× 292 1.0× 23 3.2k
Cristina Giuliani Italy 26 2.0k 0.8× 368 0.4× 531 0.8× 1.1k 2.3× 407 1.4× 89 4.4k
Kurt Lohman United States 19 2.0k 0.7× 512 0.6× 591 0.9× 703 1.5× 228 0.8× 31 3.6k
Toby Andrew United Kingdom 33 1.7k 0.6× 697 0.8× 932 1.5× 1.5k 3.1× 431 1.5× 75 5.4k
Maria Giulia Bacalini Italy 33 2.3k 0.9× 405 0.5× 560 0.9× 628 1.3× 287 1.0× 99 3.3k
Guy Hughes United States 10 2.1k 0.8× 611 0.7× 451 0.7× 467 1.0× 292 1.0× 16 2.9k
Davide Gentilini Italy 30 1.6k 0.6× 376 0.4× 694 1.1× 456 1.0× 203 0.7× 111 3.3k
Zongli Xu United States 35 2.2k 0.8× 642 0.7× 709 1.1× 383 0.8× 59 0.2× 89 3.8k
Chiara Pirazzini Italy 25 1.4k 0.5× 319 0.4× 416 0.7× 466 1.0× 257 0.9× 61 2.3k

Countries citing papers authored by Gregory Hannum

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Hannum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Hannum

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

All Works

9 of 9 papers shown
1.
Wang, Yingjun, Fedor I. Kuzminov, W. Marcus Lambert, et al.. (2018). Unrestrained markerless trait stacking in Nannochloropsis gaditana through combined genome editing and marker recycling technologies. Proceedings of the National Academy of Sciences. 115(30). E7015–E7022. 64 indexed citations
2.
Tynan, John A., Amin R. Mazloom, Chenglong Zhao, et al.. (2015). Application of risk score analysis to low‐coverage whole genome sequencing data for the noninvasive detection of trisomy 21, trisomy 18, and trisomy 13. Prenatal Diagnosis. 36(1). 56–62. 14 indexed citations
3.
Kim, Sung K., Gregory Hannum, Jennifer A. Geis, et al.. (2015). Determination of fetal DNA fraction from the plasma of pregnant women using sequence read counts. Prenatal Diagnosis. 35(8). 810–815. 160 indexed citations
4.
Zhao, Chen, John A. Tynan, Mathias Ehrich, et al.. (2015). Detection of Fetal Subchromosomal Abnormalities by Sequencing Circulating Cell-Free DNA from Maternal Plasma. Clinical Chemistry. 61(4). 608–616. 112 indexed citations
5.
Hannum, Gregory, Justin Guinney, Ling Zhao, et al.. (2012). Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates. Molecular Cell. 49(2). 359–367. 2548 indexed citations breakdown →
6.
7.
Srivas, Rohith, et al.. (2011). Assembling global maps of cellular function through integrative analysis of physical and genetic networks. Nature Protocols. 6(9). 1308–1323. 16 indexed citations
8.
Hannum, Gregory, Rohith Srivas, Aude Guénolé, et al.. (2009). Genome-Wide Association Data Reveal a Global Map of Genetic Interactions among Protein Complexes. PLoS Genetics. 5(12). e1000782–e1000782. 46 indexed citations
9.
Becker, Scott A., Adam M. Feist, Monica L. Mo, et al.. (2007). Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox. Nature Protocols. 2(3). 727–738. 623 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026