Steve Guerrero

20 total papers · 1.4k total citations
6 papers, 619 citations indexed

About

Steve Guerrero is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Steve Guerrero has authored 6 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Genetics. Recurrent topics in Steve Guerrero's work include Molecular Biology Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (1 paper) and Machine Learning in Bioinformatics (1 paper). Steve Guerrero is often cited by papers focused on Molecular Biology Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (1 paper) and Machine Learning in Bioinformatics (1 paper). Steve Guerrero collaborates with scholars based in United States, France and India. Steve Guerrero's co-authors include Guy Cavet, Mark R. Lackner, Lori S. Friedman, Lesley Murray, Elizabeth A. Punnoose, Wei Zhou, Leanne Berry, Lukas C. Amler, Marcia Belvin and Carol O’Brien and has published in prestigious journals such as Clinical Cancer Research, Molecular Cancer Research and Disease Models & Mechanisms.

In The Last Decade

Steve Guerrero

6 papers receiving 595 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Steve Guerrero	430	221	127	90	85	6	619
Abbey L. Wentzel	335 0.8×	344 1.6×	95 0.7×	59 0.7×	84 1.0×	10	568
Dongyin Yu	498 1.2×	193 0.9×	151 1.2×	57 0.6×	81 1.0×	9	684
Lamei Huang	405 0.9×	239 1.1×	139 1.1×	80 0.9×	109 1.3×	7	642
Roza Zandi	324 0.8×	264 1.2×	103 0.8×	37 0.4×	91 1.1×	9	540
Vered Givant-Horwitz	359 0.8×	197 0.9×	167 1.3×	89 1.0×	59 0.7×	12	638
Susan E. Heckford	317 0.7×	211 1.0×	122 1.0×	116 1.3×	64 0.8×	11	550
André Schultz	353 0.8×	209 0.9×	202 1.6×	65 0.7×	89 1.0×	12	593
Kim M. Dulski	275 0.6×	307 1.4×	126 1.0×	43 0.5×	94 1.1×	9	583
Choong Chin Liew	355 0.8×	137 0.6×	81 0.6×	90 1.0×	51 0.6×	11	590
S-H Chang	316 0.7×	148 0.7×	144 1.1×	55 0.6×	82 1.0×	8	637

Countries citing papers authored by Steve Guerrero

Since Specialization

Citations

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

Fields of papers citing papers by Steve Guerrero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Guerrero

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

All Works

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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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