Kyle Schaible

2.1k citations
14 papers · 1.6k · h-index 13

Impact in

    • Sperm and Testicular Function
  • Genetics top 5%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Animal Genetics and Reproduction

Papers in

    • Pluripotent Stem Cells Research 6
    • Renal and related cancers 4
    • Developmental Biology and Gene Regulation 3

Kyle Schaible

14 papers receiving 1.6k citations

Peers

Kyle Schaible
Comparison fields: 5 of 77
  • Reproductive Medicine 311
  • Genetics 543
  • Molecular Biology 1.2k
  • Public Health, Environmental and Occupational Health 389
  • Cell Biology 121
Replace Guang-Quan Zhao with:
Guang-Quan Zhao United States
Rolland Reinbold Italy
Yasuhide Ohinata Japan
Kathleen Molyneaux United States
James Kehler United States
Paula M. Timmons United Kingdom
Birgit Koschorz Germany
Jürg Stebler Germany
Ilaria Falciatori United States
Laurie Stephens United States
Kyle Schaible relative to Guang-Quan Zhao United States Guang-Quan Zhao's profile →
Citations per field
00.5×1.5×
Guang-Quan Zhao · 1×
Citations per year

Countries citing papers authored by Kyle Schaible

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Schaible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle Schaible, 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 Kyle Schaible Line = papers co-authored together Kyle Schaible links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003351
2 2001250
3 1999183
4 2006174
5 2003113
6 2002112
7 200593
8 199988
9 200568
10 200654
11 200354
12 200149
13 200439
14 20176

About Kyle Schaible

Kyle Schaible is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Renal and related cancers (4 papers), Sperm and Testicular Function (3 papers), Developmental Biology and Gene Regulation (3 papers), Reproductive Biology and Fertility (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Ultrasound Imaging and Elastography (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Reproductive Medicine (311 citations), Genetics (543 citations), Molecular Biology (1.2k citations), Public Health, Environmental and Occupational Health (389 citations) and Cell Biology (121 citations). Kyle Schaible has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Christopher Wylie, Kathleen Molyneaux, Chris Wylie, Janet Heasman, Matthew Kofron, Dan R. Littman, Prabhat S. Kunwar, Ruth Lehmann, Hélène Zinszner and Erez Raz. Their work appears in journals such as Development, Developmental Biology, Reproduction, Mechanisms of Development and Gene Expression Patterns.

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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