J. Rafael Sierra

1.4k total citations
18 papers, 1.1k citations indexed

About

J. Rafael Sierra is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, J. Rafael Sierra has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Immunology. Recurrent topics in J. Rafael Sierra's work include Complement system in diseases (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Liver physiology and pathology (4 papers). J. Rafael Sierra is often cited by papers focused on Complement system in diseases (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Liver physiology and pathology (4 papers). J. Rafael Sierra collaborates with scholars based in United States, Canada and Italy. J. Rafael Sierra's co-authors include Ming‐Sound Tsao, Silvia Giordano, Virna Cepero, Simona Corso, Paolo M. Comoglio, Elena Ghiso, Luisa Caione, Tim Perera, Wanda Piacibello and Hitoshi Kikutani and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Methods and Cancer Research.

In The Last Decade

J. Rafael Sierra

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Rafael Sierra United States 11 582 364 249 222 195 18 1.1k
Rajani Kanteti United States 21 761 1.3× 513 1.4× 446 1.8× 178 0.8× 97 0.5× 40 1.4k
Virna Cepero Italy 7 355 0.6× 217 0.6× 146 0.6× 120 0.5× 114 0.6× 7 638
Harold Hatch United States 7 1.1k 1.8× 346 1.0× 277 1.1× 147 0.7× 189 1.0× 7 1.4k
Gaynor Davies United Kingdom 19 576 1.0× 351 1.0× 99 0.4× 203 0.9× 87 0.4× 22 1.0k
Shawna Organ Canada 8 520 0.9× 305 0.8× 226 0.9× 247 1.1× 96 0.5× 9 976
Chee Wee Ong Singapore 21 845 1.5× 688 1.9× 314 1.3× 49 0.2× 179 0.9× 35 1.5k
Monica Kong-Beltran United States 10 471 0.8× 219 0.6× 241 1.0× 304 1.4× 72 0.4× 11 918
Cecilia Lau Hong Kong 12 692 1.2× 391 1.1× 124 0.5× 672 3.0× 200 1.0× 14 1.5k
Dineli Wickramasinghe United States 17 953 1.6× 359 1.0× 312 1.3× 340 1.5× 62 0.3× 24 1.6k
Hao‐Xiang Wu China 22 520 0.9× 596 1.6× 289 1.2× 120 0.5× 251 1.3× 38 1.3k

Countries citing papers authored by J. Rafael Sierra

Since Specialization
Citations

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

Fields of papers citing papers by J. Rafael Sierra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Rafael Sierra. 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 J. Rafael Sierra. The network helps show where J. Rafael Sierra may publish in the future.

Co-authorship network of co-authors of J. Rafael Sierra

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

All Works

18 of 18 papers shown
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Kulasekararaj, Austin, Axel Glasmacher, Jeff Szer, et al.. (2022). Composite endpoint to evaluate complement inhibition therapy in patients with paroxysmal nocturnal hemoglobinuria. European Journal Of Haematology. 108(5). 391–402. 5 indexed citations
3.
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Yenerel, Mustafa Nuri, Flore Sicre de Fontbrune, Caroline Piatek, et al.. (2022). Phase 3 Study of Subcutaneous Versus Intravenous Ravulizumab in Eculizumab-Experienced Adult Patients with PNH: Primary Analysis and 1-Year Follow-Up. Advances in Therapy. 40(1). 211–232. 17 indexed citations
5.
Gallop, Katy, Shehzad Ali, J. Rafael Sierra, et al.. (2020). PRO32 PREFERENCE WEIGHTS FOR QUALITY-ADJUSTED LIFE-YEARS ESTIMATION FOR TREATMENTS OF PAROXYSMAL NOCTURNAL HEMOGLOBINURIA IN FIVE COUNTRIES. Value in Health. 23. S334–S334. 1 indexed citations
6.
Tomazos, Ioannis, J. Rafael Sierra, Karissa Johnston, et al.. (2020). Cost burden of breakthrough hemolysis in patients with paroxysmal nocturnal hemoglobinuria receiving ravulizumab versus eculizumab. Hematology. 25(1). 327–334. 16 indexed citations
7.
Gallop, Katy, Shehzad Ali, J. Rafael Sierra, et al.. (2019). PSY9 PREFERENCE WEIGHTS FOR QUALITY-ADJUSTED LIFE-YEARS ESTIMATION FOR TREATMENTS OF PAROXYSMAL NOCTURNAL HEMOGLOBINURIA IN THE UNITED KINGDOM. Value in Health. 22. S902–S902. 4 indexed citations
8.
Petschnigg, Julia, Bella Groisman, Max Kotlyar, et al.. (2014). The mammalian-membrane two-hybrid assay (MaMTH) for probing membrane-protein interactions in human cells. Nature Methods. 11(5). 585–592. 115 indexed citations
9.
Sierra, J. Rafael, et al.. (2012). Abstract 1232: Overcoming resistance to EGFR-tyrosine kinase inhibitor therapy in non-small cell lung cancer. Cancer Research. 72(8_Supplement). 1232–1232. 1 indexed citations
10.
Organ, Shawna, J. Rafael Sierra, & Ming‐Sound Tsao. (2012). Therapeutic potential of c-MET inhibitors: background and clinical data. Clinical Investigation. 2(3). 301–315.
11.
Sierra, J. Rafael & Ming‐Sound Tsao. (2011). c-MET as a potential therapeutic target and biomarker in cancer. Therapeutic Advances in Medical Oncology. 3(1_suppl). S21–S35. 296 indexed citations
12.
Cepero, Virna, J. Rafael Sierra, Simona Corso, et al.. (2010). MET and KRAS Gene Amplification Mediates Acquired Resistance to MET Tyrosine Kinase Inhibitors. Cancer Research. 70(19). 7580–7590. 141 indexed citations
13.
Sierra, J. Rafael, Virna Cepero, & Silvia Giordano. (2010). Molecular mechanisms of acquired resistance to tyrosine kinase targeted therapy. Molecular Cancer. 9(1). 75–75. 178 indexed citations
14.
Corso, Simona, Elena Ghiso, Virna Cepero, et al.. (2010). Activation of HER family members in gastric carcinoma cells mediates resistance to MET inhibition. Molecular Cancer. 9(1). 121–121. 83 indexed citations
15.
Cepero, Virna, J. Rafael Sierra, & Silvia Giordano. (2010). Tyrosine Kinases as Molecular Targets to Inhibit Cancer Progression and Metastasis. Current Pharmaceutical Design. 16(12). 1396–1409. 10 indexed citations
16.
Ghiso, Elena, Virna Cepero, J. Rafael Sierra, et al.. (2010). 312 MET and KRAS gene amplification mediates acquired resistance to MET tyrosine kinase inhibitors. European Journal of Cancer Supplements. 8(7). 100–100. 6 indexed citations
17.
Sierra, J. Rafael, Simona Corso, Luisa Caione, et al.. (2008). Tumor angiogenesis and progression are enhanced by Sema4D produced by tumor-associated macrophages. The Journal of Experimental Medicine. 205(7). 1673–1685. 212 indexed citations
18.
Urbano-Ispizúa, Álvaro, Francisco Cervantes, Estella Matutes, et al.. (1993). Immunophenotypic characteristics of blast crisis of chronic myeloid leukaemia: correlations with clinico-biological features and survival.. PubMed. 7(9). 1349–54. 17 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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