Francisco Ramírez-Gómez

591 total citations
9 papers, 479 citations indexed

About

Francisco Ramírez-Gómez is a scholar working on Aquatic Science, Immunology and Molecular Biology. According to data from OpenAlex, Francisco Ramírez-Gómez has authored 9 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aquatic Science, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Francisco Ramírez-Gómez's work include Echinoderm biology and ecology (6 papers), Invertebrate Immune Response Mechanisms (4 papers) and Protein Hydrolysis and Bioactive Peptides (3 papers). Francisco Ramírez-Gómez is often cited by papers focused on Echinoderm biology and ecology (6 papers), Invertebrate Immune Response Mechanisms (4 papers) and Protein Hydrolysis and Bioactive Peptides (3 papers). Francisco Ramírez-Gómez collaborates with scholars based in Puerto Rico and United States. Francisco Ramírez-Gómez's co-authors include José E. García‐Arrarás, Erin Bromage, Edna C. Suárez‐Castillo, John D. Hansen, Humberto Ortiz‐Zuazaga, José L. Roig-López and Judit Perez Ortiz and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and BMC Genomics.

In The Last Decade

Francisco Ramírez-Gómez

9 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco Ramírez-Gómez Puerto Rico 7 271 248 85 82 35 9 479
Lori A. Clow United States 7 444 1.6× 264 1.1× 74 0.9× 90 1.1× 35 1.0× 8 624
Maria Antonietta Sanfratello Italy 11 205 0.8× 48 0.2× 65 0.8× 90 1.1× 44 1.3× 20 328
Mi Zhao China 16 148 0.5× 68 0.3× 80 0.9× 91 1.1× 32 0.9× 27 438
Xiwei Jia China 15 185 0.7× 195 0.8× 109 1.3× 53 0.6× 35 1.0× 33 542
M. Gail Mueller United States 13 420 1.5× 27 0.1× 121 1.4× 69 0.8× 18 0.5× 14 595
Michel Leclerc France 12 171 0.6× 139 0.6× 57 0.7× 28 0.3× 31 0.9× 68 367
David R. McClay United States 6 44 0.2× 97 0.4× 255 3.0× 68 0.8× 53 1.5× 7 372
Charles Y. Feng Canada 8 203 0.7× 130 0.5× 65 0.8× 20 0.2× 3 0.1× 11 325
Stefano Giacomelli Italy 10 254 0.9× 25 0.1× 53 0.6× 39 0.5× 12 0.3× 16 334
Mingguang Mao China 13 176 0.6× 70 0.3× 155 1.8× 12 0.1× 8 0.2× 27 407

Countries citing papers authored by Francisco Ramírez-Gómez

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Ramírez-Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Ramírez-Gómez

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

All Works

9 of 9 papers shown
1.
Bromage, Erin, et al.. (2012). Secretory IgD has an evolutionarily conserved role in respiratory mucosal defense (160.18). The Journal of Immunology. 188(1_Supplement). 160.18–160.18. 2 indexed citations
2.
Ramírez-Gómez, Francisco, et al.. (2011). Characterization of an anti-rainbow trout (Oncorhynchus mykiss) CD3ɛ monoclonal antibody. Veterinary Immunology and Immunopathology. 145(1-2). 511–515. 62 indexed citations
3.
Ramírez-Gómez, Francisco, et al.. (2011). Discovery and Characterization of Secretory IgD in Rainbow Trout: Secretory IgD Is Produced through a Novel Splicing Mechanism. The Journal of Immunology. 188(3). 1341–1349. 122 indexed citations
4.
Ramírez-Gómez, Francisco, et al.. (2010). Changes in holothurian coelomocyte populations following immune stimulation with different molecular patterns. Fish & Shellfish Immunology. 29(2). 175–185. 67 indexed citations
5.
Ramírez-Gómez, Francisco, et al.. (2009). LPS-Induced Genes in Intestinal Tissue of the Sea Cucumber Holothuria glaberrima. PLoS ONE. 4(7). e6178–e6178. 31 indexed citations
6.
Ramírez-Gómez, Francisco, Judit Perez Ortiz, Edna C. Suárez‐Castillo, et al.. (2009). Gene expression profiling of intestinal regeneration in the sea cucumber. BMC Genomics. 10(1). 84 indexed citations
7.
Ramírez-Gómez, Francisco, et al.. (2008). Immune-related genes associated with intestinal tissue in the sea cucumber Holothuria glaberrima. Immunogenetics. 60(7). 409–409. 2 indexed citations
8.
Ramírez-Gómez, Francisco, et al.. (2007). Immune-related genes associated with intestinal tissue in the sea cucumber Holothuria glaberrima. Immunogenetics. 60(1). 57–71. 58 indexed citations
9.
Ramírez-Gómez, Francisco, et al.. (2007). Distinct profiles of expressed sequence tags during intestinal regeneration in the sea cucumberHolothuria glaberrima. Physiological Genomics. 31(2). 203–215. 51 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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