Gabriel Rivera

23 total papers · 797 total citations
16 papers, 570 citations indexed

About

Gabriel Rivera is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gabriel Rivera has authored 16 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 6 papers in Oncology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gabriel Rivera's work include Acute Lymphoblastic Leukemia research (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Acute Myeloid Leukemia Research (5 papers). Gabriel Rivera is often cited by papers focused on Acute Lymphoblastic Leukemia research (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Acute Myeloid Leukemia Research (5 papers). Gabriel Rivera collaborates with scholars based in United States, Switzerland and Mexico. Gabriel Rivera's co-authors include Heather A. Wakelee, J Ochs, Minnie Abromowitch, CW Berard, Ching‐Hon Pui, J Mirro, W. Paul Bowman, Diane L. Fairclough, S B Murphy and H. Omar Hustu and has published in prestigious journals such as Journal of Clinical Oncology, Advances in experimental medicine and biology and Journal of Thoracic Oncology.

In The Last Decade

Gabriel Rivera

16 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Gabriel Rivera	182	164	156	139	123	16	570
B. G. Leventhal	158 0.9×	248 1.5×	89 0.6×	84 0.6×	110 0.9×	12	594
J.C. Gentet	153 0.8×	148 0.9×	132 0.8×	249 1.8×	121 1.0×	20	612
Juliet Hananian	169 0.9×	245 1.5×	122 0.8×	49 0.4×	143 1.2×	15	645
Phillip Barnette	253 1.4×	249 1.5×	145 0.9×	122 0.9×	188 1.5×	26	666
R David	119 0.7×	72 0.4×	132 0.8×	122 0.9×	152 1.2×	19	549
M O'Brien	112 0.6×	192 1.2×	76 0.5×	55 0.4×	200 1.6×	12	542
Mason Bond	121 0.7×	58 0.4×	196 1.3×	57 0.4×	123 1.0×	15	507
Willi Woessmann	213 1.2×	81 0.5×	128 0.8×	432 3.1×	156 1.3×	20	649
Robert O. Bash	240 1.3×	172 1.0×	78 0.5×	38 0.3×	213 1.7×	15	690
JJ Spinelli	184 1.0×	61 0.4×	145 0.9×	158 1.1×	63 0.5×	12	543

Countries citing papers authored by Gabriel Rivera

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Rivera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Rivera. A scholar is included among the top collaborators of Gabriel Rivera 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 Gabriel Rivera. Gabriel Rivera 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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