Daniel He

3.9k total citations · 1 hit paper
25 papers, 2.1k citations indexed

About

Daniel He is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Daniel He has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Physiology. Recurrent topics in Daniel He's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). Daniel He is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). Daniel He collaborates with scholars based in United States, Canada and Germany. Daniel He's co-authors include Benoit G. Bruneau, Siyuan Liu, Daniel A. Lim, Max A. Horlbeck, Frank J. Attenello, Jonathan S. Weissman, Katherine S. Pollard, Jacqueline E. Villalta, Min Y. Cho and Seung Woo Cho and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel He

23 papers receiving 2.0k citations

Hit Papers

CRISPRi-based genome-scale identification of functional l... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel He United States 16 1.6k 689 188 159 140 25 2.1k
Guangdun Peng China 23 1.8k 1.1× 402 0.6× 94 0.5× 136 0.9× 110 0.8× 66 2.2k
Elizabeth M. Mandel United States 7 2.2k 1.3× 1.6k 2.4× 161 0.9× 116 0.7× 83 0.6× 10 2.7k
Christopher S. McGinnis United States 11 1.7k 1.1× 420 0.6× 125 0.7× 179 1.1× 403 2.9× 12 2.7k
Ignacio Sancho-Martinez United States 18 1.8k 1.1× 324 0.5× 196 1.0× 154 1.0× 133 0.9× 31 2.0k
Shi-Lung Lin United States 23 2.3k 1.4× 1.4k 2.0× 106 0.6× 166 1.0× 199 1.4× 55 2.7k
Zoraida Andreu Spain 12 1.7k 1.0× 715 1.0× 66 0.4× 80 0.5× 128 0.9× 19 2.0k
Jasenka Guduric‐Fuchs United Kingdom 20 1.2k 0.8× 640 0.9× 71 0.4× 108 0.7× 87 0.6× 33 1.7k
Thomas Treiber Germany 13 2.5k 1.6× 1.8k 2.6× 98 0.5× 110 0.7× 157 1.1× 18 3.2k
Alireza Khodadadi‐Jamayran United States 25 975 0.6× 267 0.4× 208 1.1× 97 0.6× 325 2.3× 56 1.7k
Ashley Lau United States 8 2.8k 1.7× 710 1.0× 103 0.5× 277 1.7× 299 2.1× 10 3.2k

Countries citing papers authored by Daniel He

Since Specialization
Citations

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

Fields of papers citing papers by Daniel He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel He

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

All Works

20 of 20 papers shown
1.
He, Daniel, Sabina A. Guler, Casey P. Shannon, Christopher J. Ryerson, & Scott J. Tebbutt. (2024). Transcriptomics of interstitial lung disease: a systematic review and meta-analysis. European Respiratory Journal. 65(6). 2401070–2401070.
2.
He, Daniel, Casey P. Shannon, Jeremy A. Hirota, et al.. (2024). Diagnostic potential of genomic blood biomarkers of pulmonary fibrosis in a prospective cohort. PLoS ONE. 19(12). e0314876–e0314876.
3.
Li, Yi, et al.. (2024). Abstract 3739: Different combination regimens for OX40 agonists and PD-1 inhibitors exert different antitumor effects in OX40 humanized mice. Cancer Research. 84(6_Supplement). 3739–3739. 1 indexed citations
4.
Yang, Chengliang, et al.. (2023). Cellular and molecular biomarkers of long COVID: a scoping review. EBioMedicine. 91. 104552–104552. 52 indexed citations
5.
Dryer, Rachel, Robyn Brunton, Daniel He, & Esther Lee. (2022). Psychometric properties of the Pregnancy-Related Anxiety Scale—Screener.. Psychological Assessment. 34(5). 443–458. 6 indexed citations
6.
He, Daniel, David Wu, Sören Müller, et al.. (2021). miRNA-independent function of long noncoding pri-miRNA loci. Proceedings of the National Academy of Sciences. 118(13). 25 indexed citations
8.
He, Daniel, Chen Xi Yang, Başak Şahin, et al.. (2019). Whole blood vs PBMC: compartmental differences in gene expression profiling exemplified in asthma. Allergy Asthma and Clinical Immunology. 15(1). 67–67. 29 indexed citations
9.
Liu, Siyuan, Max A. Horlbeck, Seung Woo Cho, et al.. (2016). CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells. Science. 355(6320). 530 indexed citations breakdown →
10.
Luna‐Zurita, Luis, Christian U. Stirnimann, Sebastian Glatt, et al.. (2016). Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis. Cell. 164(5). 999–1014. 139 indexed citations
11.
Liu, Siyuan, Tomasz J. Nowakowski, Alex A. Pollen, et al.. (2016). Single-cell analysis of long non-coding RNAs in the developing human neocortex. Genome biology. 17(1). 67–67. 253 indexed citations
12.
Bell, Robert J.A., H. Tomas Rube, Alex Kreig, et al.. (2015). The transcription factor GABP selectively binds and activates the mutant TERT promoter in cancer. Science. 348(6238). 1036–1039. 398 indexed citations
13.
Theodoris, Christina V., Molong Li, Mark P. White, et al.. (2015). Human Disease Modeling Reveals Integrated Transcriptional and Epigenetic Mechanisms of NOTCH1 Haploinsufficiency. Cell. 160(6). 1072–1086. 148 indexed citations
14.
Simonti, Corinne, Katherine S. Pollard, Sebastian Schröder, et al.. (2015). Evolution of lysine acetylation in the RNA polymerase II C-terminal domain. BMC Evolutionary Biology. 15(1). 35–35. 14 indexed citations
15.
Bell, Robert J.A., H. Tomas Rube, Alex Kreig, et al.. (2015). Abstract B12: GABP selectively binds and activates the mutant TERT promoter across multiple cancer types. Cancer Research. 75(23_Supplement). B12–B12. 1 indexed citations
16.
Chen, Helen, Jihong Jiang, Oksana Nemirovsky, et al.. (2014). Spatial regulation of Aurora A activity during mitotic spindle assembly requires RHAMM to correctly localize TPX2. Cell Cycle. 13(14). 2248–2261. 38 indexed citations
17.
Delgado-Olguı́n, Paul, Lan Dang, Daniel He, et al.. (2014). Ezh2-mediated repression of a transcriptional pathway upstream of Mmp9 maintains integrity of the developing vasculature. Development. 141(23). 4610–4617. 50 indexed citations
18.
Schröder, Sebastian, Eva Herker, Daniel He, et al.. (2013). Acetylation of RNA Polymerase II Regulates Growth-Factor-Induced Gene Transcription in Mammalian Cells. Molecular Cell. 52(3). 314–324. 89 indexed citations
19.
Wythe, Joshua D., Lan Dang, W. Patrick Devine, et al.. (2013). ETS Factors Regulate Vegf-Dependent Arterial Specification. Developmental Cell. 26(1). 45–58. 110 indexed citations
20.
O’Geen, Henriette, Xiaoqin Xu, Lorigail Echipare, et al.. (2010). Genome-wide binding of the orphan nuclear receptor TR4 suggests its general role in fundamental biological processes. BMC Genomics. 11(1). 689–689. 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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