Morton Ne

434 citations
16 papers · 338 · h-index 8

Impact in

    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genetic Associations and Epidemiology
    • Genetic diversity and population structure
    • Forensic and Genetic Research

Papers in

Morton Ne

16 papers receiving 261 citations

Peers

Morton Ne
Comparison fields: 5 of 94
  • Genetics 147
  • General Psychology 5
  • Experimental and Cognitive Psychology 34
  • Hematology 28
  • Gender Studies 16
Replace P. S Harper with:
P. S Harper
Francis C. Lees United States
Eliane S. Azevêdo Brazil
Neel Jv Japan
R Lew United States
Webster C. Leyshon United States
Jean Sutter France
P. Govinda Reddy India
Paul Wexler Israel
Carlos Y Valenzuela Chile
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Citations per field
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Citations per year

Countries citing papers authored by Morton Ne

Since Specialization
Citations

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

Fields of papers citing papers by Morton Ne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Morton Ne. 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 Morton Ne. The network helps show where Morton Ne may publish in the future.

Co-authors

The 4 scholars most cited alongside Morton Ne, 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 Morton Ne Line = papers co-authored together Morton Ne links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Analysis of family resemblance. I. Introduction.
1974123
2
Selection at the ABO locus.
196156
3
The detection of major genes under additive continuous variation.
196738
4
Demography of inbreeding in Switzerland.
197035
5
Sequential test for linkage between cystic fibrosis of the pancreas and the MNS locus.
195624
6
Pingelap and mokil atolls: genealogy.
197111
7
Genetic counseling in sex linkage.
19799
8
[Segregation analysis of myotonia atrophica].
19707
9
Population structure and historical genetics of isolates.
19747
10
Causal analysis of family resemblance.
19796
11
Pingelap and Mokil Atolls: clans and cognate frequencies.
19726
12
Kinship and inbreeding on Namu Atoll (Marshall Islands).
19725
13
A SEARCH FOR NATURAL SELECTION. MAGNITUDE OF NONBINOMIAL VARIATION IN FAMILY DATA.
19655
14
Segregation and linkage analysis.
19822
15
The future of human population genetics.
19722
16
Linkage and association.
19842

About Morton Ne

Morton Ne is a scholar working on Geography, Planning and Development, Molecular Biology, Anthropology, Demography and Surgery, having authored 16 papers that have together received 338 indexed citations. Recurring topics across this work include Pacific and Southeast Asian Studies (3 papers), Global Maritime and Colonial Histories (2 papers), Family Business Performance and Succession (1 paper), Cystic Fibrosis Research Advances (1 paper), Island Studies and Pacific Affairs (1 paper), Intergenerational Family Dynamics and Caregiving (1 paper), Animal Ecology and Behavior Studies (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Genetics (147 citations), General Psychology (5 citations), Experimental and Cognitive Psychology (34 citations), Hematology (28 citations) and Gender Studies (16 citations). Morton Ne has collaborated with scholars based in United States. Frequent co-authors include Steinberg Ag, Israel Roisenberg, Nancy J. Pollock and Alexandre B. Todorov. Their work appears in journals such as PubMed.

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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