J. Rodríguez

80 papers receiving 1.8k citations

Hit Papers

Final results of DESTINY-CRC01 investigating trastuzumab ...20232026202420252023255075

Peers

J. Rodríguez
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 440
  • Oncology 371
  • Molecular Biology 291
  • Endocrine and Autonomic Systems 259
  • Pulmonary and Respiratory Medicine 255
Replace Lynne L. Levitsky with:
Lynne L. Levitsky United States
Kazue Takano Japan
Joseph M. Gertner United States
Tiziana Russo Italy
Naomi Hizuka Japan
Francis White United States
Bogdan Marek Poland
Cemal Gündoğdu Türkiye
Massimo Giusti Italy
G D Aurbach United States
J. Rodríguez relative to Lynne L. Levitsky United States Lynne L. Levitsky's profile →
Citations per field
00.5×4.4×
Lynne L. Levitsky · 1×
Citations per year

Countries citing papers authored by J. Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by J. Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Rodríguez

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 4
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Efecto de la aplicación de diferentes productos en la brotación de la caña de azúcar
1
9 19
10 39
11 36
12 63
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SET THEORY APPLIED TO LEUKOCYTES, LYMPHOCYTES AND CD4 IN POPULATIONS OF HIV PATIENTS: Prediction of T-CD4 lymphocytes, for clinical application
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Clinical outcome of 42 patients treated with 81 immediately loaded zygomatic implants: a 12- to 42-month retrospective study.
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Reincorporación laboral de los pacientes que han sufrido un infarto agudo de miocardio
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About J. Rodríguez

J. Rodríguez is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Oncology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (14 papers), Gastric Cancer Management and Outcomes (9 papers) and Diabetes Management and Research (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (259 citations), Endocrinology, Diabetes and Metabolism (440 citations) and Clinical Biochemistry (128 citations). J. Rodríguez has collaborated with scholars based in Spain, United States and Japan. Frequent co-authors include Santiago Rodrı́guez-Segade, Felipe F. Casanueva, S. Rodríguez‐Segade, Félix Camiña, Carlos Diéguez, José Manuel García López, Roberto Baldelli, R. Peinó, Masayasu Kojima and Emanuela Arvat. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

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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