Lydia E. McMorrow

895 citations
22 papers · 747 · h-index 12

Impact in

Papers in

Lydia E. McMorrow

22 papers receiving 695 citations

Peers

Lydia E. McMorrow
Comparison fields: 5 of 63
  • Genetics 331
  • Pediatrics, Perinatology and Child Health 136
  • Molecular Biology 505
  • Cancer Research 73
  • Developmental Biology 11
Replace Susi Scappaticci with:
Susi Scappaticci Italy
D E Rooney United Kingdom
H. D. Hager Germany
F Chavin-Colin France
J.D. Singer United Kingdom
D L Van Dyke United States
Ann C. Burgess United States
Renée Bernstein South Africa
Elena Kolomietz Canada
Barbara Adler‐Brecher United States
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Citations per field
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Citations per year

Countries citing papers authored by Lydia E. McMorrow

Since Specialization
Citations

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

Fields of papers citing papers by Lydia E. McMorrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lydia E. McMorrow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lydia E. McMorrow Line = papers co-authored together Lydia E. McMorrow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994281
2 1995141
3 199996
4 199340
5 198622
6 198020
7 197420
8 198718
9
Development and progression of karyotypic variability in melanoma K1735 following X-irradiation.
198515
10 199214
11 199612
12 199511
13
Animal model of human disease: myelogenous leukemia in the RF mouse.
198211
14 198410
15
Growth of granulopoietic bone marrow cells of RF mice.
19809
16
Irradiation-induced marker chromosomes in a metastasizing murine tumor.
19887
17 19914
18 19884
19 19804
20 19733

About Lydia E. McMorrow

Lydia E. McMorrow is a scholar working on Genetics, Molecular Biology, Plant Science, Hematology and Genetics, having authored 22 papers that have together received 747 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (4 papers), Prenatal Screening and Diagnostics (4 papers), Genomics and Chromatin Dynamics (3 papers), Cancer Genomics and Diagnostics (2 papers), Virology and Viral Diseases (2 papers), Cancer-related Molecular Pathways (2 papers) and Syphilis Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (331 citations), Pediatrics, Perinatology and Child Health (136 citations), Molecular Biology (505 citations), Cancer Research (73 citations) and Developmental Biology (11 citations). Lydia E. McMorrow has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Theresa A. Freeman, Robert G. Nagele, Hsin‐Yi Lee, Lawrence M. Weiss, Francine R. Dembitzer, Yue Hao, Thomas Moulton, William L. Gerald, Na‐Sheng Lin and Thomas Loew. Their work appears in journals such as Journal of Medical Genetics, The Journal of Infectious Diseases, Cancer, Cytometry and Annals of the New York Academy of Sciences.

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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