Steve Rodriguez

607 total citations · 1 hit paper
6 papers, 403 citations indexed

About

Steve Rodriguez is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Steve Rodriguez has authored 6 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Sensory Systems and 3 papers in Nutrition and Dietetics. Recurrent topics in Steve Rodriguez's work include Biochemical Analysis and Sensing Techniques (3 papers), Olfactory and Sensory Function Studies (3 papers) and Neurobiology and Insect Physiology Research (2 papers). Steve Rodriguez is often cited by papers focused on Biochemical Analysis and Sensing Techniques (3 papers), Olfactory and Sensory Function Studies (3 papers) and Neurobiology and Insect Physiology Research (2 papers). Steve Rodriguez collaborates with scholars based in United States, Israel and Greece. Steve Rodriguez's co-authors include Mark W. Albers, Bradley T. Hyman, Luxiang Cao, Kyle E. Evans, Artem Sokolov, Sarah A. Boswell, Nathan Johnson, George Zhou, Peter K. Sorger and Nienke Moret and has published in prestigious journals such as Nature Communications, Scientific Reports and Developmental Biology.

In The Last Decade

Steve Rodriguez

6 papers receiving 395 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.

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

2021 181 citations Steve Rodriguez, Clemens B. Hug et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Rodriguez United States	6	150	105	102	80	69	6	403
Julie C. Barnes United Kingdom	10	193 1.3×	81 0.8×	84 0.8×	49 0.6×	27 0.4×	14	435
Tharinda W. Rajapaksha United States	6	155 1.0×	223 2.1×	76 0.7×	108 1.4×	16 0.2×	7	358
Xinzhong Li United Kingdom	11	219 1.5×	146 1.4×	25 0.2×	18 0.2×	12 0.2×	18	507
Maciej Maj Poland	12	193 1.3×	59 0.6×	85 0.8×	141 1.8×	6 0.1×	37	510
Keni Ni Japan	9	165 1.1×	180 1.7×	52 0.5×	78 1.0×	7 0.1×	11	377
James E. Finley United States	7	150 1.0×	277 2.6×	74 0.7×	115 1.4×	7 0.1×	11	535
Pascal Pflimlin Switzerland	6	359 2.4×	39 0.4×	73 0.7×	11 0.1×	44 0.6×	7	498
Béatrice Drouet France	7	291 1.9×	236 2.2×	31 0.3×	47 0.6×	9 0.1×	7	453
Ajay Yekkirala United States	12	376 2.5×	290 2.8×	25 0.2×	84 1.1×	35 0.5×	17	664

Countries citing papers authored by Steve Rodriguez

Since Specialization

Citations

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

Fields of papers citing papers by Steve Rodriguez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Rodriguez

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

All Works

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6 of 6 papers shown

1.

Charpignon, Marie‐Laure, Bang Zheng, Colin Magdamo, et al.. (2022). Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature Communications. 13(1). 7652–7652. 34 indexed citations

2.

Rodriguez, Steve, Clemens B. Hug, Petar V. Todorov, et al.. (2021). Machine learning identifies candidates for drug repurposing in Alzheimer’s disease. Nature Communications. 12(1). 1033–1033. 181 indexed citations breakdown →

3.

Starr, H. Lynn, et al.. (2017). Comparison of long-acting and oral antipsychotic treatment effects in patients with schizophrenia, comorbid substance abuse, and a history of recent incarceration: An exploratory analysis of the PRIDE study. Schizophrenia Research. 194. 39–46. 28 indexed citations

4.

Cao, Luxiang, Benjamin R. Schrank, Steve Rodriguez, et al.. (2012). Aβ alters the connectivity of olfactory neurons in the absence of amyloid plaques in vivo. Nature Communications. 3(1). 1009–1009. 63 indexed citations

5.

Cao, Luxiang, et al.. (2012). The precision of axon targeting of mouse olfactory sensory neurons requires the BACE1 protease. Scientific Reports. 2(1). 231–231. 68 indexed citations

6.

Rodriguez, Steve, et al.. (2007). Notch2 is required for maintaining sustentacular cell function in the adult mouse main olfactory epithelium. Developmental Biology. 314(1). 40–58. 29 indexed citations

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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