John Garza

2.2k citations
7 papers · 1.6k · 1 hit paper · h-index 3

Impact in

  • Genetics top 2%
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Evolution and Genetic Dynamics

Papers in

John Garza

7 papers receiving 1.5k citations

John Garza's Hit Papers

Mutational processes of simple-sequence repeat loci in human populations. 1994 · 1.3k citations
1.3k0+10+21Years since publication4008001.2k

Peers

John Garza
Comparison fields: 5 of 98
  • Genetics 1.0k
  • Behavioral Neuroscience 75
  • Nature and Landscape Conservation 227
  • Biological Psychiatry 46
  • Ecology 410
Replace Jeffrey L. Peters with:
Jeffrey L. Peters United States
John G. Swallow United States
Alexander A. Tinnikov Russia
Eva K. Fischer United States
Maarit Jaarola Sweden
Michael Garratt United States
Nicola Illing South Africa
Damian K. Dowling Australia
Haruka Wada United States
Camryn D. Allen United States
John Garza relative to Jeffrey L. Peters United States Jeffrey L. Peters's profile →
Citations per field
00.5×3.6×
Jeffrey L. Peters · 1×
Citations per year

Countries citing papers authored by John Garza

Since Specialization
Citations

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

Fields of papers citing papers by John Garza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside John Garza, 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 John Garza Line = papers co-authored together John Garza links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Mutational processes of simple-sequence repeat loci in human populations.
Hit paper breakdown →
19941302
2 2011176
3 201266
4 20252
5 20232
6 20231
7 20241

About John Garza

John Garza is a scholar working on Epidemiology, Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Genetics, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (2 papers), Genomic variations and chromosomal abnormalities (1 paper), Sepsis Diagnosis and Treatment (1 paper), Burn Injury Management and Outcomes (1 paper), Nosocomial Infections in ICU (1 paper), Genetic factors in colorectal cancer (1 paper), Emergency and Acute Care Studies (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Genetics (1.0k citations), Behavioral Neuroscience (75 citations), Nature and Landscape Conservation (227 citations), Biological Psychiatry (46 citations) and Ecology (410 citations). John Garza has collaborated with scholars based in United States. Frequent co-authors include Montgomery Slatkin, Amy Peterson, Nelson B. Freimer, Anna Di Rienzo, Ana M. Valdes, Ming Guo, Wei Zhang, X-Y Lu, Streamson C. Chua and Bai Lu. Their work appears in journals such as Translational Psychiatry, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Journal of Clinical Medicine and Molecular Psychiatry.

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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