Howard J. Jacob

17.4k total citations · 2 hit papers
178 papers, 8.8k citations indexed

About

Howard J. Jacob is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Howard J. Jacob has authored 178 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 52 papers in Genetics and 46 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Howard J. Jacob's work include Renin-Angiotensin System Studies (31 papers), Birth, Development, and Health (21 papers) and Hormonal Regulation and Hypertension (20 papers). Howard J. Jacob is often cited by papers focused on Renin-Angiotensin System Studies (31 papers), Birth, Development, and Health (21 papers) and Hormonal Regulation and Hypertension (20 papers). Howard J. Jacob collaborates with scholars based in United States, Germany and United Kingdom. Howard J. Jacob's co-authors include Anne E. Kwitek, Aron M. Geurts, Philip M. Iannaccone, Eric S. Lander, Andrew S. Greene, Jozef Lazar, Allen W. Cowley, Richard J. Roman, David L. Mattson and Mingyu Liang and has published in prestigious journals such as New England Journal of Medicine, Cell and Nucleic Acids Research.

In The Last Decade

Howard J. Jacob

176 papers receiving 8.6k citations

Hit Papers

Characterization of human plasm... 1991 2026 2002 2014 2013 1991 250 500 750

Peers

Howard J. Jacob
Timothy J. Aitman United Kingdom
Ian N.M. Day United Kingdom
Martin Farrall United Kingdom
Beverly Paigen United States
Samir S. Deeb United States
William J. Pavan United States
Charles Vinson United States
Timothy J. Aitman United Kingdom
Howard J. Jacob
Citations per year, relative to Howard J. Jacob Howard J. Jacob (= 1×) peers Timothy J. Aitman

Countries citing papers authored by Howard J. Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Howard J. Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard J. Jacob. 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 Howard J. Jacob. The network helps show where Howard J. Jacob may publish in the future.

Co-authorship network of co-authors of Howard J. Jacob

This figure shows the co-authorship network connecting the top 25 collaborators of Howard J. Jacob. A scholar is included among the top collaborators of Howard J. Jacob 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 Howard J. Jacob. Howard J. Jacob 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.
Ceccarelli, Michele, et al.. (2023). Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning. npj Precision Oncology. 7(1). 4–4. 8 indexed citations
2.
Kopelman, Yael, et al.. (2019). Automated polyp detection system in colonoscopy using deep learning and image processing techniques.. Data Archiving and Networked Services (DANS). 3. 101. 5 indexed citations
3.
Hara, Hiromasa, Teppei Goto, Akiko Takizawa, et al.. (2016). Rat Blastocysts from Nuclear Injection and Time-Lagged Enucleation and Their Commitment to Embryonic Stem Cells. Cellular Reprogramming. 18(2). 108–115. 2 indexed citations
4.
Prokop, Jeremy W., Shirng‐Wern Tsaih, Allison Faber, et al.. (2016). The phenotypic impact of the male-specific region of chromosome-Y in inbred mating: the role of genetic variants and gene duplications in multiple inbred rat strains. Biology of Sex Differences. 7(1). 10–10. 16 indexed citations
5.
Yeo, Nan Cher, Caitlin C. O’Meara, Ritu Tomar, et al.. (2014). Shroom3 contributes to the maintenance of the glomerular filtration barrier integrity. Genome Research. 25(1). 57–65. 47 indexed citations
6.
Shimoyama, Mary, Jeff De Pons, G. Thomas Hayman, et al.. (2014). The Rat Genome Database 2015: genomic, phenotypic and environmental variations and disease. Nucleic Acids Research. 43(D1). D743–D750. 164 indexed citations
7.
Laulederkind, Stanley J. F., G. Thomas Hayman, Shuu‐Jiun Wang, et al.. (2013). The Rat Genome Database 2013--data, tools and users. Briefings in Bioinformatics. 14(4). 520–526. 55 indexed citations
8.
Huang, Xiaoyi, Tiezheng Yuan, Michael Tschannen, et al.. (2013). Characterization of human plasma-derived exosomal RNAs by deep sequencing. BMC Genomics. 14(1). 319–319. 846 indexed citations breakdown →
9.
Flister, Michael J., Shirng‐Wern Tsaih, Caitlin C. O’Meara, et al.. (2013). Identifying multiple causative genes at a single GWAS locus. Genome Research. 23(12). 1996–2002. 80 indexed citations
10.
Moreno, Carol, Timothy J. Stodola, Jozef Lazar, et al.. (2011). Creation and Characterization of a Renin Knockout Rat. Hypertension. 57(3). 614–619. 56 indexed citations
11.
Nye, Steven H., et al.. (2007). Rat survival to anthrax lethal toxin is likely controlled by a single gene. The Pharmacogenomics Journal. 8(1). 16–22. 15 indexed citations
13.
Sharma, Mukut, Yvonne H. Datta, Carol Moreno, et al.. (2005). Rf-2 Gene Modulates Proteinuria and Albuminuria Independently of Changes in Glomerular Permeability in the Fawn-Hooded Hypertensive Rat. Journal of the American Society of Nephrology. 16(4). 852–856. 50 indexed citations
14.
Dwinell, Melinda R., H. V. Forster, John S. Petersen, et al.. (2005). Genetic determinants on rat chromosome 6 modulate variation in the hypercapnic ventilatory response using consomic strains. Journal of Applied Physiology. 98(5). 1630–1638. 17 indexed citations
15.
Jensen‐Seaman, Michael I., Terrence S. Furey, Bret A. Payseur, et al.. (2004). Comparative Recombination Rates in the Rat, Mouse, and Human Genomes. Genome Research. 14(4). 528–538. 378 indexed citations
16.
Erbe, Christy B., et al.. (2002). Radiation hybrid mapping of five muscarinic acetylcholine receptor subtype genes in Rattus norvegicus. Hearing Research. 174(1-2). 86–92. 6 indexed citations
17.
Scheetz, Todd E., Darryl Nishimura, Jack M. Gardiner, et al.. (2001). Generation of a High-Density Rat EST Map. Genome Research. 11(3). 497–502. 24 indexed citations
18.
Cowley, Allen W., Richard J. Roman, Mary L. Kaldunski, et al.. (2000). Transfer of Brown Norway Rat Chromosome 13 into Dahl S Genomic Background Confers Protection from High Salt Diet. Hypertension. 36. 717–717. 1 indexed citations
19.
Wei, Suwen, Daniel H. Moralejo, George Koike, et al.. (1999). Mapping and characterization of quantitative trait loci for non-insulin-dependent diabetes mellitus with an improved genetic map in the Otsuka Long-Evans Tokushima Fatty rat. Mammalian Genome. 10(3). 249–258. 41 indexed citations
20.
Alper, Richard H., Howard J. Jacob, & Michael J. Brody. (1987). Central and peripheral mechanisms of arterial pressure lability following baroreceptor denervation. Canadian Journal of Physiology and Pharmacology. 65(8). 1615–1618. 15 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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