Leslie Ingram-Drake

2.0k total citations · 1 hit paper
15 papers, 1.5k citations indexed

About

Leslie Ingram-Drake is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Leslie Ingram-Drake has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Physiology. Recurrent topics in Leslie Ingram-Drake's work include Bioinformatics and Genomic Networks (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Adipose Tissue and Metabolism (3 papers). Leslie Ingram-Drake is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Adipose Tissue and Metabolism (3 papers). Leslie Ingram-Drake collaborates with scholars based in United States, Germany and Sweden. Leslie Ingram-Drake's co-authors include Aldons J. Lusis, Thomas A. Drake, Eric E. Schadt, Arthur P. Arnold, Susanna Wang, Hui Wang, Xia Yang, Susanna S. Wang, Atila van Nas and Xuping Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation Research and Diabetes Care.

In The Last Decade

Leslie Ingram-Drake

15 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Tissue-specific expression and regulation of sexually dimorphic genes in mice

2006 672 citations Xia Yang, Eric E. Schadt et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leslie Ingram-Drake United States	14	694	693	179	133	131	15	1.5k
Susanna Wang United States	11	883 1.3×	889 1.3×	198 1.1×	104 0.8×	112 0.9×	15	1.8k
Aaron Isaacs Netherlands	13	936 1.3×	505 0.7×	155 0.9×	75 0.6×	102 0.8×	16	1.8k
Michael Rützler Denmark	21	414 0.6×	709 1.0×	97 0.5×	144 1.1×	61 0.5×	31	1.6k
Christian Tessier France	23	209 0.3×	477 0.7×	235 1.3×	229 1.7×	130 1.0×	49	1.4k
Hyuna Yang United States	14	686 1.0×	722 1.0×	103 0.6×	111 0.8×	299 2.3×	23	1.6k
Biswajit Das United States	23	395 0.6×	668 1.0×	89 0.5×	273 2.1×	110 0.8×	59	1.7k
John Dixon United Kingdom	8	806 1.2×	1.8k 2.5×	127 0.7×	203 1.5×	176 1.3×	10	3.4k
Michael J. Dewey United States	23	538 0.8×	677 1.0×	129 0.7×	97 0.7×	39 0.3×	78	1.4k
Kathleen M. Eyster United States	22	248 0.4×	444 0.6×	141 0.8×	319 2.4×	84 0.6×	83	1.6k
Asta Laiho Finland	25	476 0.7×	1.8k 2.6×	262 1.5×	136 1.0×	83 0.6×	65	2.7k

Countries citing papers authored by Leslie Ingram-Drake

Since Specialization

Citations

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

Fields of papers citing papers by Leslie Ingram-Drake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie Ingram-Drake. 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 Leslie Ingram-Drake. The network helps show where Leslie Ingram-Drake may publish in the future.

Co-authorship network of co-authors of Leslie Ingram-Drake

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

All Works

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15 of 15 papers shown

Nas, Atila van, Calvin Pan, Leslie Ingram-Drake, et al.. (2013). The Systems Genetics Resource: A Web Application to Mine Global Data for Complex Disease Traits. Frontiers in Genetics. 4. 84–84. 9 indexed citations

Romanoski, Casey E., Sangderk Lee, Michelle Kim, et al.. (2010). Systems Genetics Analysis of Gene-by-Environment Interactions in Human Cells. The American Journal of Human Genetics. 86(3). 399–410. 86 indexed citations

Nas, Atila van, Leslie Ingram-Drake, Janet S. Sinsheimer, et al.. (2010). Expression Quantitative Trait Loci: Replication, Tissue- and Sex-Specificity in Mice. Genetics. 185(3). 1059–1068. 70 indexed citations

Wang, Susanna S., Lisa Martin, Eric E. Schadt, et al.. (2009). Disruption of the Aortic Elastic Lamina and Medial Calcification Share Genetic Determinants in Mice. Circulation Cardiovascular Genetics. 2(6). 573–582. 13 indexed citations

Orozco, Luz D., Shawn Cokus, Anatole Ghazalpour, et al.. (2009). Copy number variation influences gene expression and metabolic traits in mice. Human Molecular Genetics. 18(21). 4118–4129. 87 indexed citations

Nas, Atila van, Debraj GuhaThakurta, Susanna S. Wang, et al.. (2008). Elucidating the Role of Gonadal Hormones in Sexually Dimorphic Gene Coexpression Networks. Endocrinology. 150(3). 1235–1249. 176 indexed citations

Sadhu, Archana, et al.. (2008). Economic Benefits of Intensive Insulin Therapy in Critically Ill Patients. Diabetes Care. 31(8). 1556–1561. 23 indexed citations

Farber, Charles R., Atila van Nas, Anatole Ghazalpour, et al.. (2008). An Integrative Genetics Approach to Identify Candidate Genes Regulating BMD: Combining Linkage, Gene Expression, and Association. Journal of Bone and Mineral Research. 24(1). 105–116. 41 indexed citations

Vera, Iset, Nam Che, Xuping Wang, et al.. (2007). Identification of Abcc6 as the major causal gene for dystrophic cardiac calcification in mice through integrative genomics. Proceedings of the National Academy of Sciences. 104(11). 4530–4535. 103 indexed citations

10.

Wang, Susanna S., Eric E. Schadt, Hui Wang, et al.. (2007). Identification of Pathways for Atherosclerosis in Mice. Circulation Research. 101(3). e11–30. 88 indexed citations

11.

Yang, Xia, Eric E. Schadt, Susanna Wang, et al.. (2006). Tissue-specific expression and regulation of sexually dimorphic genes in mice. Genome Research. 16(8). 995–1004. 672 indexed citations breakdown →

12.

Ghazalpour, Anatole, Sudheer Doss, Sonal S. Sheth, et al.. (2005). Genomic analysis of metabolic pathway gene expression in mice. Genome biology. 6(7). R59–R59. 67 indexed citations

13.

Katzir, Lirona, et al.. (2004). Early Evidence of Bone Marrow Dysfunction in Children with Indeterminate Fulminant Hepatic Failure Who Ultimately Develop Aplastic Anemia. American Journal of Transplantation. 4(10). 1656–1661. 24 indexed citations

14.

Finegold, S M, Leslie Ingram-Drake, Robert Gee, et al.. (1987). Bowel flora changes in humans receiving cefixime (CL 284,635) or cefaclor. Antimicrobial Agents and Chemotherapy. 31(3). 443–446. 22 indexed citations

15.

Reinhardt, John F., Lynn Johnston, Peter Ruane, et al.. (1986). A Randomized, Double-Blind Comparison of Sulbactam/Ampicillin and Clindamycin for the Treatment of Aerobic and Aerobic-Anaerobic Infections. Clinical Infectious Diseases. 8(Supplement_5). S569–S575. 25 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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