Kenneth A. Pass

3.1k total citations
68 papers, 2.0k citations indexed

About

Kenneth A. Pass is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Molecular Biology. According to data from OpenAlex, Kenneth A. Pass has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pediatrics, Perinatology and Child Health, 17 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Kenneth A. Pass's work include Metabolism and Genetic Disorders (16 papers), Neonatal Health and Biochemistry (11 papers) and Hemoglobinopathies and Related Disorders (8 papers). Kenneth A. Pass is often cited by papers focused on Metabolism and Genetic Disorders (16 papers), Neonatal Health and Biochemistry (11 papers) and Hemoglobinopathies and Related Disorders (8 papers). Kenneth A. Pass collaborates with scholars based in United States, Australia and Belgium. Kenneth A. Pass's co-authors include Katharine B. Harris, J.G. Ondo, Ronald Bellisario, Michele Caggana, Fred Lorey, Nancy Green, Bradford L. Therrell, Cynthia F. Hinton, Roger B. Eaton and George J. Brewer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Nature Reviews Genetics.

In The Last Decade

Kenneth A. Pass

66 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth A. Pass United States 24 523 459 405 337 298 68 2.0k
J.G. Loeber Netherlands 25 654 1.3× 741 1.6× 329 0.8× 693 2.1× 430 1.4× 78 2.7k
Fred Lorey United States 31 1.1k 2.1× 776 1.7× 306 0.8× 693 2.1× 451 1.5× 78 2.9k
D. R. Abramovich United Kingdom 29 971 1.9× 341 0.7× 170 0.4× 51 0.2× 146 0.5× 89 2.9k
Bradford L. Therrell United States 31 1.3k 2.4× 1.0k 2.2× 486 1.2× 1.3k 4.0× 940 3.2× 103 3.4k
Masahiko Kawai Japan 21 355 0.7× 436 0.9× 328 0.8× 108 0.3× 368 1.2× 136 1.7k
Rohan M. Lewis United Kingdom 31 1.7k 3.2× 550 1.2× 119 0.3× 97 0.3× 118 0.4× 119 2.6k
Risto Lapatto Finland 31 467 0.9× 1.6k 3.6× 206 0.5× 211 0.6× 384 1.3× 73 3.7k
Peter Heinz‐Erian Austria 25 103 0.2× 716 1.6× 204 0.5× 68 0.2× 257 0.9× 69 1.9k
Giriraj R. Chandak India 30 571 1.1× 895 1.9× 387 1.0× 48 0.1× 831 2.8× 95 2.9k
Jocelyn D. Glazier United Kingdom 35 2.2k 4.1× 861 1.9× 140 0.3× 174 0.5× 324 1.1× 120 4.0k

Countries citing papers authored by Kenneth A. Pass

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth A. Pass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth A. Pass. 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 Kenneth A. Pass. The network helps show where Kenneth A. Pass may publish in the future.

Co-authorship network of co-authors of Kenneth A. Pass

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth A. Pass. A scholar is included among the top collaborators of Kenneth A. Pass 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 Kenneth A. Pass. Kenneth A. Pass 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.
Pass, Kenneth A. & Gerald J. Mizejewski. (2009). Is it time for Newborn Screening for Fetal Alcohol Spectrum Disorders ? A Commentary. SHILAP Revista de lepidopterología. 2 indexed citations
2.
Lubin, Ira M., Margaret M. McGovern, Susan J. Gross, et al.. (2009). Clinician Perspectives about Molecular Genetic Testing for Heritable Conditions and Development of a Clinician-Friendly Laboratory Report. Journal of Molecular Diagnostics. 11(2). 162–171. 41 indexed citations
3.
Pass, Kenneth A., Jess G. Thoene, & Michael S. Watson. (2009). Emergency preparedness for newborn screening and genetic services. Genetics in Medicine. 11(6). 455–464. 7 indexed citations
4.
Saavedra‐Matiz, Carlos A., et al.. (2008). Novel mutations causing medium chain acyl‐CoA dehydrogenase deficiency: Under‐representation of the common c.985 A > G mutation in the New York state population. American Journal of Medical Genetics Part A. 146A(5). 610–619. 19 indexed citations
5.
6.
Harris, Katharine B. & Kenneth A. Pass. (2007). Increase in congenital hypothyroidism in New York State and in the United States. Molecular Genetics and Metabolism. 91(3). 268–277. 195 indexed citations
7.
Pass, Kenneth A., Nancy Green, Fred Lorey, John Sherwin, & Anne Marie Comeau. (2006). Pilot programs in newborn screening. Mental Retardation and Developmental Disabilities Research Reviews. 12(4). 293–300. 21 indexed citations
8.
Mills, James L., Charlotte M. Druschel, Faith Pangilinan, et al.. (2005). Folate‐related genes and omphalocele. American Journal of Medical Genetics Part A. 136A(1). 8–11. 14 indexed citations
9.
Wade, Nancy A., Maia Butsashvili, Louise‐Anne McNutt, et al.. (2004). Decline in Perinatal HIV Transmission in New York State (1997???2000). JAIDS Journal of Acquired Immune Deficiency Syndromes. 36(5). 1075–1082. 30 indexed citations
10.
Fitzgerald, Tomas, et al.. (2004). The frequency of GJB2 and GJB6 mutations in the New York State newborn population: feasibility of genetic screening for hearing defects. Clinical Genetics. 65(4). 338–342. 21 indexed citations
11.
Pass, Kenneth A.. (2003). Multiplex testing in newborn screening. 26(2). 87–92. 1 indexed citations
12.
Crawford, Dana C., Michele Caggana, Katharine B. Harris, et al.. (2002). Characterization of β-globin haplotypes using blood spots from a population-based cohort of newborns with homozygous HbS. Genetics in Medicine. 4(5). 328–335. 12 indexed citations
13.
Birkhead, Guthrie S., et al.. (2000). Consented testing of newborns and childbearing women for human immunodeficiency virus through a newborn metabolic screening program. American Journal of Obstetrics and Gynecology. 183(1). 245–251. 4 indexed citations
14.
Pass, Kenneth A., Peter A. Lane, Paul M. Fernhoff, et al.. (2000). US Newborn Screening System Guidelines II: Follow-up of Children, Diagnosis, Management, and Evaluation Statement of the Council of Regional Networks for Genetic Services (CORN). The Journal of Pediatrics. 137(4). S1–S47. 124 indexed citations
15.
16.
Caggana, Michele, James M. Conroy, & Kenneth A. Pass. (1998). Rapid, efficient method for multiplex amplification from filter paper. Human Mutation. 11(5). 404–409. 61 indexed citations
17.
Henderson, L. Omar, W. Harry Hannon, John T. Bernert, et al.. (1997). An Evaluation of the Use of Dried Blood Spots from Newborn Screening for Monitoring the Prevalence of Cocaine Use among Childbearing Women. Biochemical and Molecular Medicine. 61(2). 143–151. 31 indexed citations
18.
Pass, Kenneth A., et al.. (1996). Metabolic Screening via Heel Stick versus Umbilical Arterial Catheter— A Comparison. Clinical Pediatrics. 35(6). 333–334. 1 indexed citations
19.
Morris, James E., et al.. (1993). Molecular Confirmation of α1-Antitrypsin Genotypes in Newborn Dried Blood Specimens. Biochemical Medicine and Metabolic Biology. 50(2). 233–240. 22 indexed citations
20.

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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