Harold Gómez

499 total citations
3 papers, 66 citations indexed

About

Harold Gómez is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Harold Gómez has authored 3 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Computational Theory and Mathematics and 0 papers in Infectious Diseases. Recurrent topics in Harold Gómez's work include Microbial Metabolic Engineering and Bioproduction (2 papers), Gene expression and cancer classification (2 papers) and Bioinformatics and Genomic Networks (2 papers). Harold Gómez is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (2 papers), Gene expression and cancer classification (2 papers) and Bioinformatics and Genomic Networks (2 papers). Harold Gómez collaborates with scholars based in United States, Australia and Switzerland. Harold Gómez's co-authors include Daniel Gusenleitner, Scott S. Auerbach, David H. Sherr, Stefano Monti, Tisha Melia, German Nudelman, Sarah Keating, Dagmar Iber, Michael Hucka and Stuart C. Sealfon and has published in prestigious journals such as Bioinformatics and PLoS ONE.

In The Last Decade

Harold Gómez

3 papers receiving 65 citations

Peers

Harold Gómez
Ignacio J. Tripodi United States
Kaushal Joshi United States
Jessica K. Hartman United States
Miranda D. Stobbe Netherlands
Imane Boudellioua Saudi Arabia
Ignacio J. Tripodi United States
Harold Gómez
Citations per year, relative to Harold Gómez Harold Gómez (= 1×) peers Ignacio J. Tripodi

Countries citing papers authored by Harold Gómez

Since Specialization
Citations

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

Fields of papers citing papers by Harold Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harold Gómez

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

All Works

3 of 3 papers shown
1.
Gómez, Harold, Michael Hucka, Sarah Keating, et al.. (2016). MOCCASIN: converting MATLAB ODE models to SBML. Bioinformatics. 32(12). 1905–1906. 13 indexed citations
2.
Gusenleitner, Daniel, Scott S. Auerbach, Tisha Melia, et al.. (2014). Genomic Models of Short-Term Exposure Accurately Predict Long-Term Chemical Carcinogenicity and Identify Putative Mechanisms of Action. PLoS ONE. 9(7). e102579–e102579. 49 indexed citations
3.
Chittenden, Thomas W., Eleanor Howe, Jennifer M. Taylor, et al.. (2012). nEASE: a method for gene ontology subclassification of high-throughput gene expression data. Bioinformatics. 28(5). 726–728. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026