David E. Root

69.9k citations
223 papers · 24.9k indexed · 11 hit papers · h-index 68

David E. Root

216 papers receiving 24.5k citations

Hit Papers

Chronos: a cell popu...204200620262012201910002.0k3.0k

Peers

David E. Root
Comparison fields: 5 of 188
  • Aging 559
  • Molecular Biology 17.0k
  • Cancer Research 3.6k
  • Business and International Management 390
  • Oncology 4.1k
Replace Robert Tjian with:
Robert Tjian United States
Lars M. Steinmetz Germany
X. Shirley Liu United States
Myles Brown United States
Nevan J. Krogan United States
Richard A. Young United States
Wendell A. Lim United States
Zhiping Weng United States
Jason Moffat Canada
Nicholas D. Socci United States
David E. Root relative to Robert Tjian United States Robert Tjian's profile →
Citations per field
00.5×2.6×
Robert Tjian · 1×
Citations per year

Countries citing papers authored by David E. Root

Since Specialization
Citations

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

Fields of papers citing papers by David E. Root

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Root. 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 David E. Root. The network helps show where David E. Root may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David E. Root, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David E. Root Line = papers co-authored together David E. Root links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20244
3 202412
4 20229
5 202123
6 202032
7 202090
8 201930
9 2018145
10 201878
11 2017104
12 201736
13 201595
14 201555
15
( R )-2-Hydroxyglutarate Is Sufficient to Promote Leukemogenesis and Its Effects Are Reversiblebreakdown →
2013533
16 2013260
17
Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cellsbreakdown →
20133656
18 2012134
19 2011110
20 200948

About David E. Root

David E. Root is a scholar working on Molecular Biology, Cancer Research, Electrical and Electronic Engineering, Biophysics and Hematology, having authored 223 papers that have together received 24.9k indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (56 papers), CRISPR and Genetic Engineering (29 papers), Advanced Power Amplifier Design (23 papers), Silicon Carbide Semiconductor Technologies (22 papers), Advancements in Semiconductor Devices and Circuit Design (18 papers), Advanced biosensing and bioanalysis techniques (14 papers), Epigenetics and DNA Methylation (13 papers) and Protein Degradation and Inhibitors (13 papers). The work is most often cited by research in Aging (559 citations), Molecular Biology (17.0k citations), Cancer Research (3.6k citations), Business and International Management (390 citations) and Oncology (4.1k citations). David E. Root has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John G. Doench, Benjamin L. Ebert, Ella Hartenian, Mudra Hegde, Meagan E. Sullender, William C. Hahn, Tarjei S. Mikkelsen, David Scott, Neville E. Sanjana and Feng Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, Nature Communications, Cell and Nature.

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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