David E. Hill

42.5k total citations · 5 hit papers
179 papers, 14.1k citations indexed

About

David E. Hill is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David E. Hill has authored 179 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 67 papers in Genetics and 25 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David E. Hill's work include Spider Taxonomy and Behavior Studies (50 papers), Lepidoptera: Biology and Taxonomy (37 papers) and Bioinformatics and Genomic Networks (20 papers). David E. Hill is often cited by papers focused on Spider Taxonomy and Behavior Studies (50 papers), Lepidoptera: Biology and Taxonomy (37 papers) and Bioinformatics and Genomic Networks (20 papers). David E. Hill collaborates with scholars based in United States, Belgium and France. David E. Hill's co-authors include Marc Vidal, Jean‐François Rual, Tong Hao, Michael E. Cusick, Kevin Struhl, Karen A. Johnson, Jean Vandenhaute, Huda Y. Zoghbi, Steven A. Carr and Tomoko Hirozane-Kishikawa and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David E. Hill

172 papers receiving 13.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Mitochondrial Protein Compendium Elucidates Complex I Disease Biology

2008 1.6k citations David E. Hill, Marc Vidal et al. Cell profile →
Toward Improving Caenorhabditis elegans Phenome Mapping With an ORFeome-Based RNAi Library

2004 720 citations Jean‐François Rual, Tong Hao et al. Genome Research profile →
A Protein–Protein Interaction Network for Human Inherited Ataxias and Disorders of Purkinje Cell Degeneration

2006 590 citations Janghoo Lim, Tong Hao et al. Cell profile →
Topological control of p21WAF1/CIP1 expression in normal and neoplastic tissues.

1995 525 citations David E. Hill et al. PubMed profile →
p53 Mutation and MDM2 amplification in human soft tissue sarcomas.

1993 465 citations David E. Hill et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David E. Hill United States	59	10.2k	1.9k	1.6k	1.4k	1.3k	179	14.1k
Andrew I. Su United States	51	8.7k 0.9×	1.1k 0.6×	2.1k 1.3×	1.3k 0.9×	611 0.5×	146	16.1k
Michael R. Green United States	68	15.3k 1.5×	1.5k 0.8×	2.4k 1.5×	748 0.5×	413 0.3×	177	19.2k
Michael Boutros Germany	67	14.1k 1.4×	2.0k 1.1×	1.8k 1.1×	2.2k 1.5×	475 0.4×	219	19.0k
Donna G. Albertson United States	62	9.4k 0.9×	2.4k 1.3×	5.9k 3.7×	1.1k 0.8×	2.2k 1.6×	164	16.2k
Masatoshi Hagiwara Japan	62	11.6k 1.1×	1.5k 0.8×	1.5k 0.9×	1.5k 1.0×	316 0.2×	301	16.4k
Anne E. Carpenter United States	58	11.0k 1.1×	1.6k 0.8×	1.2k 0.8×	2.1k 1.5×	360 0.3×	166	19.8k
Jason Moffat Canada	56	11.9k 1.2×	2.2k 1.2×	1.3k 0.8×	2.0k 1.4×	326 0.2×	168	16.3k
Le Cong United States	34	17.5k 1.7×	1.4k 0.8×	4.1k 2.5×	700 0.5×	1.1k 0.8×	60	20.7k
Michael Z. Lin United States	49	11.0k 1.1×	1.3k 0.7×	892 0.6×	2.1k 1.4×	567 0.4×	107	17.2k
Sumio Sugano Japan	57	8.2k 0.8×	1.3k 0.7×	2.1k 1.3×	595 0.4×	303 0.2×	296	12.8k

Countries citing papers authored by David E. Hill

Since Specialization

Citations

This map shows the geographic impact of David E. Hill'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. Hill 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. Hill more than expected).

Fields of papers citing papers by David E. Hill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Hill

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Zhaorong, Yilin Chen, Xing Liu, et al.. (2023). Paired yeast one-hybrid assays to detect DNA-binding cooperativity and antagonism across transcription factors. Nature Communications. 14(1). 4 indexed citations

Waters, Colin T., Stephen S. Gisselbrecht, Yuliya A. Sytnikova, et al.. (2021). Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue. Genome biology. 22(1). 348–348. 3 indexed citations

Yang, Fan, Song Sun, Guihong Tan, et al.. (2017). Identifying pathogenicity of human variants via paralog-based yeast complementation. PLoS Genetics. 13(5). e1006779–e1006779. 24 indexed citations

Sun, Song, Fan Yang, Guihong Tan, et al.. (2016). An extended set of yeast-based functional assays accurately identifies human disease mutations. Genome Research. 26(5). 670–680. 68 indexed citations

Neupane, Manish, Allison Clark, Serena Landini, et al.. (2015). MECP2 Is a Frequently Amplified Oncogene with a Novel Epigenetic Mechanism That Mimics the Role of Activated RAS in Malignancy. Cancer Discovery. 6(1). 45–58. 49 indexed citations

Duarte, Melissa, Michael A. Calderwood, Guillaume Adelmant, et al.. (2013). An RS Motif within the Epstein-Barr Virus BLRF2 Tegument Protein Is Phosphorylated by SRPK2 and Is Important for Viral Replication. PLoS ONE. 8(1). e53512–e53512. 18 indexed citations

Hill, David E.. (2012). Notes on the jumping spiders Thiodina puerpera (Hentz 1846) and Thiodina sylvana (Hentz 1846) in the southeastern United States (Araneae: Salticidae). 99. 2 indexed citations

Otto, Jürgen C. & David E. Hill. (2011). An illustrated review of the known peacock spiders of the genus Maratus from Australia, with description of a new species (Araneae: Salticidae: Euophryinae). 96(1). 1–27. 13 indexed citations

Dreze, Matija, Dario Monachello, Claire Lurin, et al.. (2010). High-Quality Binary Interactome Mapping. Methods in enzymology on CD-ROM/Methods in enzymology. 470. 281–315. 92 indexed citations

10.

Kahle, Juliette J., Natali Gulbahce, Chad A. Shaw, et al.. (2010). Comparison of an expanded ataxia interactome with patient medical records reveals a relationship between macular degeneration and ataxia. Human Molecular Genetics. 20(3). 510–527. 37 indexed citations

11.

Salehi‐Ashtiani, Kourosh, Chenwei Lin, Tong Hao, et al.. (2009). Large-scale RACE approach for proactive experimental definition of C. elegans ORFeome. Genome Research. 19(12). 2334–2342. 12 indexed citations

12.

Cusick, Michael E., Haiyuan Yu, Alex Smolyar, et al.. (2008). Literature-curated protein interaction datasets. Nature Methods. 6(1). 39–46. 212 indexed citations

13.

Temple, Gary, Philippe Lamesch, Stuart Milstein, et al.. (2006). From genome to proteome: developing expression clone resources for the human genome. Human Molecular Genetics. 15(suppl_1). R31–R43. 23 indexed citations

14.

Lim, Janghoo, Tong Hao, Chad A. Shaw, et al.. (2006). A Protein–Protein Interaction Network for Human Inherited Ataxias and Disorders of Purkinje Cell Degeneration. Cell. 125(4). 801–814. 590 indexed citations breakdown →

15.

Gillette, William, Dominic Esposito, Peter Frank, et al.. (2005). Pooled ORF Expression Technology (POET). Molecular & Cellular Proteomics. 4(11). 1647–1652. 9 indexed citations

16.

Boulton, Simon J., Anton Gartner, Jérôme Reboul, et al.. (2002). Combined Functional Genomic Maps of the C. elegans DNA Damage Response. Science. 295(5552). 127–131. 229 indexed citations

17.

Vidal, Marc, Simon J. Boulton, Anton Gartner, et al.. (2002). Combined functional genomic maps of the C-elegans DNA damage response. Max Planck Institute for Plasma Physics. 15(12). 1653–1653. 9 indexed citations

18.

Tonks, Nicholas K., Qing Yang, Andrew Flint, et al.. (1992). Protein Tyrosine Phosphatases: The Problems of a Growing Family. Cold Spring Harbor Symposia on Quantitative Biology. 57(0). 87–94. 28 indexed citations

19.

Brown‐Shimer, Sheryl, Karen A. Johnson, David E. Hill, & Arthur M. Bruskin. (1992). Effect of protein tyrosine phosphatase 1B expression on transformation by the human neu oncogene.. PubMed. 52(2). 478–82. 126 indexed citations

20.

Estep, Kenneth W., Francisco Rey, Kjell R. Bjørklund, et al.. (1992). Deus creavit; Linneaus disposuit: An international effort to create a catalogue and expert system for the identification of protistan species. Sarsia. 77(3-4). 275–285. 4 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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