Felicia Gomez

574 total citations
8 papers, 250 citations indexed

About

Felicia Gomez is a scholar working on Genetics, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Felicia Gomez has authored 8 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Pathology and Forensic Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Felicia Gomez's work include Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Immune Cell Function and Interaction (2 papers). Felicia Gomez is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Immune Cell Function and Interaction (2 papers). Felicia Gomez collaborates with scholars based in United States, France and Singapore. Felicia Gomez's co-authors include Kilannin Krysiak, Todd A. Fehniger, Malachi Griffith, Obi L. Griffith, Nancy L. Bartlett, Melissa M. Berrien-Elliott, Amanda F. Cashen, John Kuruvilla, Kenneth R. Carson and Betsy LaPlant and has published in prestigious journals such as Blood, The American Journal of Human Genetics and Annals of Oncology.

In The Last Decade

Felicia Gomez

6 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Felicia Gomez United States	4	200	137	114	52	47	8	250
Pablo Mozas Spain	9	221 1.1×	144 1.1×	126 1.1×	83 1.6×	32 0.7×	37	284
Bishan Ye United States	5	234 1.2×	165 1.2×	161 1.4×	70 1.3×	71 1.5×	7	324
Anneke Bosga-Bouwer Netherlands	8	226 1.1×	157 1.1×	130 1.1×	23 0.4×	48 1.0×	12	279
Nichola Webster United Kingdom	4	253 1.3×	152 1.1×	129 1.1×	57 1.1×	56 1.2×	9	296
Mitul Gandhi United States	8	133 0.7×	127 0.9×	80 0.7×	26 0.5×	34 0.7×	30	202
María-Jesús Artiga Spain	7	152 0.8×	98 0.7×	77 0.7×	52 1.0×	74 1.6×	7	243
Ruben A. L. de Groen Netherlands	7	132 0.7×	107 0.8×	63 0.6×	41 0.8×	28 0.6×	16	202
Jefferson Parker United States	5	209 1.0×	142 1.0×	91 0.8×	44 0.8×	135 2.9×	6	324
Sarah H. Walsh Sweden	8	224 1.1×	107 0.8×	211 1.9×	59 1.1×	48 1.0×	9	289
Elsa Maître France	10	146 0.7×	64 0.5×	199 1.7×	117 2.3×	80 1.7×	25	266

Countries citing papers authored by Felicia Gomez

Since Specialization

Citations

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

Fields of papers citing papers by Felicia Gomez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felicia Gomez

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

All Works

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8 of 8 papers shown

Gomez, Felicia, Arpad Danos, Guilherme Del Fiol, et al.. (2024). A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges. Cancer Discovery. 14(10). 1774–1778.

Tang, Hongwei, Huihuang Yan, Shulan Tian, et al.. (2024). Abstract P06: Characterization of the Immune Tumor Microenvironment in a Diverse Cohort of Patients with Multiple Myeloma. Blood Cancer Discovery. 5(2_Supplement). P06–P06. 1 indexed citations

Ward, Jeffrey P., Melissa M. Berrien-Elliott, Felicia Gomez, et al.. (2021). Phase 1/dose expansion trial of brentuximab vedotin and lenalidomide in relapsed or refractory diffuse large B-cell lymphoma. Blood. 139(13). 1999–2010. 23 indexed citations

Heudel, Pierre-Étienne, Thierry Durand, Béatrice Fervers, et al.. (2018). Data-mining of 110 172 electronic patient records with the ConSoRe tool: An analysis of second primary cancer in a comprehensive cancer center. Annals of Oncology. 29. viii482–viii482.

Bartlett, Nancy L., Brian A. Costello, Betsy LaPlant, et al.. (2017). Single-agent ibrutinib in relapsed or refractory follicular lymphoma: a phase 2 consortium trial. Blood. 131(2). 182–190. 110 indexed citations

Krysiak, Kilannin, Felicia Gomez, Brian S. White, et al.. (2016). Recurrent somatic mutations affecting B-cell receptor signaling pathway genes in follicular lymphoma. Blood. 129(4). 473–483. 110 indexed citations

Ko, Wen‐Ya, Felicia Gomez, Laura Scheinfeldt, et al.. (2013). Identifying Darwinian Selection Acting on Different Human APOL1 Variants among Diverse African Populations. The American Journal of Human Genetics. 93(1). 191–191. 2 indexed citations

Gomez, Felicia, Wen‐Ya Ko, Alessia Ranciaro, et al.. (2013). Patterns of nucleotide and haplotype diversity at ICAM-1 across global human populations with varying levels of malaria exposure. Human Genetics. 132(9). 987–999. 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.

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