John Garza

2.2k total citations · 1 hit paper
7 papers, 1.6k citations indexed

About

John Garza is a scholar working on Epidemiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, John Garza has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in John Garza's work include Regulation of Appetite and Obesity (2 papers), Stress Responses and Cortisol (1 paper) and Genetic Syndromes and Imprinting (1 paper). John Garza is often cited by papers focused on Regulation of Appetite and Obesity (2 papers), Stress Responses and Cortisol (1 paper) and Genetic Syndromes and Imprinting (1 paper). John Garza collaborates with scholars based in United States. John Garza's co-authors include Anna Di Rienzo, Amy Peterson, Montgomery Slatkin, Ana M. Valdes, Nelson B. Freimer, X-Y Lu, Wei Zhang, Ming Guo, Yuqing Li and Bai Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Psychiatry.

In The Last Decade

John Garza

7 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mutational processes of simple-sequence repeat loci in human populations.

1994 1.3k citations Anna Di Rienzo, Amy Peterson et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Garza United States	3	1.0k	410	381	230	227	7	1.6k
Barrie D. Robison United States	26	611 0.6×	277 0.7×	462 1.2×	85 0.4×	398 1.8×	42	2.1k
Jeffrey L. Peters United States	26	1.1k 1.1×	632 1.5×	539 1.4×	133 0.6×	138 0.6×	91	1.9k
Finn‐Arne Weltzien Norway	30	1.2k 1.2×	310 0.8×	411 1.1×	59 0.3×	559 2.5×	94	3.1k
Maarit Jaarola Sweden	27	1.6k 1.6×	1.4k 3.4×	306 0.8×	242 1.1×	132 0.6×	55	2.5k
Luke M. Evans United States	19	650 0.6×	224 0.5×	355 0.9×	384 1.7×	309 1.4×	50	1.7k
Sylvie Dufour France	36	1.3k 1.3×	453 1.1×	391 1.0×	49 0.2×	744 3.3×	116	3.7k
Theodore J. Morgan United States	24	743 0.7×	591 1.4×	272 0.7×	171 0.7×	105 0.5×	49	1.7k
Nicola Illing South Africa	31	803 0.8×	404 1.0×	1.1k 2.8×	456 2.0×	39 0.2×	70	2.3k
Ming‐Yi Chou Taiwan	17	416 0.4×	711 1.7×	770 2.0×	113 0.5×	227 1.0×	33	1.7k
John G. Swallow United States	25	629 0.6×	360 0.9×	108 0.3×	69 0.3×	109 0.5×	42	1.6k

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-authorship network of co-authors of John Garza

This figure shows the co-authorship network connecting the top 25 collaborators of John Garza. A scholar is included among the top collaborators of John Garza 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 John Garza. John Garza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Zhuo, Xiaoyu, Edward A. Belter, Chad Tomlinson, et al.. (2025). methylGrapher: genome-graph-based processing of DNA methylation data from whole genome bisulfite sequencing. Nucleic Acids Research. 53(3). 2 indexed citations

2.

Oud, Lavi & John Garza. (2024). Trajectories of State-Level Sepsis-Related Mortality by Race and Ethnicity Group in the United States. Journal of Clinical Medicine. 13(10). 2848–2848. 1 indexed citations

3.

Garza, John, et al.. (2023). Analysis of the timing and the usage of drains following cranioplasty on outcomes and the incidence of bone resorption. Surgical Neurology International. 14. 329–329. 2 indexed citations

4.

John, Albin, et al.. (2023). A retrospective analysis of systemic Norepinephrine impact on tangential excision and split thickness skin graft outcomes in burn shock patients. Burns Open. 7(3). 68–75. 1 indexed citations

5.

Guo, Ming, John Garza, Yuqing Li, et al.. (2012). Forebrain glutamatergic neurons mediate leptin action on depression-like behaviors and synaptic depression. Translational Psychiatry. 2(2). e83–e83. 66 indexed citations

6.

Garza, John, Ming Guo, Wei Zhang, & X-Y Lu. (2011). Leptin restores adult hippocampal neurogenesis in a chronic unpredictable stress model of depression and reverses glucocorticoid-induced inhibition of GSK-3β/β-catenin signaling. Molecular Psychiatry. 17(8). 790–808. 176 indexed citations

7.

Rienzo, Anna Di, Amy Peterson, John Garza, et al.. (1994). Mutational processes of simple-sequence repeat loci in human populations.. Proceedings of the National Academy of Sciences. 91(8). 3166–3170. 1302 indexed citations breakdown →

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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