Neil E. Lamb

2.6k total citations
27 papers, 1.4k citations indexed

About

Neil E. Lamb is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Neil E. Lamb has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Genetics and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Neil E. Lamb's work include Prenatal Screening and Diagnostics (6 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Rare Diseases (5 papers). Neil E. Lamb is often cited by papers focused on Prenatal Screening and Diagnostics (6 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Rare Diseases (5 papers). Neil E. Lamb collaborates with scholars based in United States, Denmark and Greece. Neil E. Lamb's co-authors include Stephanie L. Sherman, Terry Hassold, Vincent W. Yang, Brian A. Babbin, Mandayam O. Nandan, S. L. Sherman, Weidong Zhao, Irfan M. Hisamuddin, Eleanor Feingold and Sallie B. Freeman and has published in prestigious journals such as New England Journal of Medicine, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Neil E. Lamb

27 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil E. Lamb United States 14 809 688 539 293 225 27 1.4k
Evelyne Vanneste Belgium 13 532 0.7× 555 0.8× 759 1.4× 348 1.2× 169 0.8× 20 1.3k
M.A. Hultén United Kingdom 15 447 0.6× 440 0.6× 324 0.6× 151 0.5× 263 1.2× 20 930
Mark Wossidlo United States 12 1.7k 2.0× 362 0.5× 233 0.4× 206 0.7× 374 1.7× 16 1.8k
Josep Egozcue Spain 25 521 0.6× 707 1.0× 473 0.9× 287 1.0× 347 1.5× 61 1.4k
Junko Yamane Japan 13 294 0.4× 318 0.5× 540 1.0× 233 0.8× 79 0.4× 24 1.1k
Gesa Schwanitz Germany 22 532 0.7× 1.1k 1.6× 696 1.3× 151 0.5× 418 1.9× 132 1.6k
K. Madan Netherlands 26 759 0.9× 1.2k 1.8× 613 1.1× 131 0.4× 693 3.1× 50 1.9k
Dorothy Pettay United States 18 723 0.9× 1.1k 1.6× 767 1.4× 225 0.8× 390 1.7× 26 1.7k
Anna Marozzi Italy 21 778 1.0× 672 1.0× 168 0.3× 545 1.9× 130 0.6× 50 1.5k
Philippos C. Patsalis Cyprus 27 1.0k 1.3× 1.2k 1.8× 705 1.3× 77 0.3× 266 1.2× 100 2.0k

Countries citing papers authored by Neil E. Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Neil E. Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil E. Lamb

This figure shows the co-authorship network connecting the top 25 collaborators of Neil E. Lamb. A scholar is included among the top collaborators of Neil E. Lamb 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 Neil E. Lamb. Neil E. Lamb 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.
Prokop, Jeremy W., et al.. (2022). Computational and Experimental Analysis of Genetic Variants. Comprehensive physiology. 12(2). 3303–3336. 6 indexed citations
2.
Prokop, Jeremy W., et al.. (2022). Computational and Experimental Analysis of Genetic Variants. Comprehensive physiology. 12(2). 3303–3336. 1 indexed citations
3.
Lamb, Neil E., et al.. (2021). Characteristics and experiences of patients from a community-based and consumer-directed hereditary cancer population screening initiative. SHILAP Revista de lepidopterología. 3(1). 100055–100055. 2 indexed citations
4.
Lawlor, James M.J., Xiaopeng Li, Susan L. Millard, et al.. (2020). Genomic, transcriptomic, and protein landscape profile of CFTR and cystic fibrosis. Human Genetics. 140(3). 423–439. 8 indexed citations
5.
Hurlé, Belén, Toby Citrin, Jean Jenkins, et al.. (2013). What does it mean to be genomically literate?: National Human Genome Research Institute Meeting Report. Genetics in Medicine. 15(8). 658–663. 91 indexed citations
6.
Lamb, Neil E., R Myers, & Chris Gunter. (2009). Education and Personalized Genomics: Deciphering the Public‘s Genetic Health Report. Personalized Medicine. 6(6). 681–690. 4 indexed citations
7.
Zhong, Diansheng, Aki Morikawa, Lizheng Guo, et al.. (2006). Homozygous deletion of SMAD4 in breast cancer cell lines and invasive ductal carcinomas. Cancer Biology & Therapy. 5(6). 601–607. 24 indexed citations
8.
Zhong, Diansheng, Lizheng Guo, Itziar de Aguirre, et al.. (2006). LKB1 mutation in large cell carcinoma of the lung. Lung Cancer. 53(3). 285–294. 52 indexed citations
9.
Lamb, Neil E., S. L. Sherman, & Terry Hassold. (2005). Effect of meiotic recombination on the production of aneuploid gametes in humans. Cytogenetic and Genome Research. 111(3-4). 250–255. 121 indexed citations
10.
Weinshenker, David, Malania M. Wilson, Katherine M. Williams, et al.. (2005). A new method for identifying informative genetic markers in selectively bred rats. Mammalian Genome. 16(10). 784–791. 2 indexed citations
11.
Lamb, Neil E., Kai Yu, John R. Shaffer, Eleanor Feingold, & Stephanie L. Sherman. (2004). Association between Maternal Age and Meiotic Recombination for Trisomy 21. The American Journal of Human Genetics. 76(1). 91–99. 88 indexed citations
12.
Zhao, Weidong, Irfan M. Hisamuddin, Mandayam O. Nandan, et al.. (2004). Identification of Krüppel-like factor 4 as a potential tumor suppressor gene in colorectal cancer. Oncogene. 23(2). 395–402. 253 indexed citations
13.
Lamb, Neil E. & Terry Hassold. (2004). Nondisjunction — A View from Ringside. New England Journal of Medicine. 351(19). 1931–1934. 24 indexed citations
14.
Berend, Sue Ann, Scott L. Page, William Walker Atkinson, et al.. (2003). Obligate Short-Arm Exchange in De Novo Robertsonian Translocation Formation Influences Placement of Crossovers in Chromosome 21 Nondisjunction. The American Journal of Human Genetics. 72(2). 488–495. 7 indexed citations
15.
Li, Jinming, Stephanie L. Sherman, Neil E. Lamb, & Hongyu Zhao. (2001). Multipoint Genetic Mapping with Trisomy Data. The American Journal of Human Genetics. 69(6). 1255–1265. 3 indexed citations
16.
Lamb, Neil E.. (1997). Characterization of susceptible chiasma configurations that increase the risk for maternal nondisjunction of chromosome 21. Human Molecular Genetics. 6(9). 1391–1399. 165 indexed citations
17.
Lamb, Neil E., Eleanor Feingold, & Stephanie L. Sherman. (1997). Estimating Meiotic Exchange Patterns From Recombination Data: An Application to Humans. Genetics. 146(3). 1011–1017. 20 indexed citations
18.
Lamb, Neil E., Sallie B. Freeman, Dorothy Pettay, et al.. (1996). Susceptible chiasmate configurations of chromosome 21 predispose to non–disjunction in both maternal meiosis I and meiosis II. Nature Genetics. 14(4). 400–405. 290 indexed citations
19.
Feingold, Eleanor, Neil E. Lamb, & Stephanie L. Sherman. (1995). Methods for genetic linkage analysis using trisomies.. PubMed. 56(2). 475–83. 16 indexed citations
20.
Lamb, Neil E., et al.. (1994). Increased disomic homozygosity in the telomeric region of chromosome 21 among Down Syndrome individuals with duodenal atresia. The American Journal of Human Genetics. 55. 1 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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