V. Giner

2.2k citations
87 papers · 1.2k indexed · h-index 20

V. Giner

81 papers receiving 1.2k citations

Peers

V. Giner
Comparison fields: 5 of 99
  • Oncology 404
  • Endocrinology, Diabetes and Metabolism 245
  • Cardiology and Cardiovascular Medicine 252
  • Nutrition and Dietetics 168
  • Pulmonary and Respiratory Medicine 349
Replace Jennifer Sung with:
Jennifer Sung United States
V. Beral United Kingdom
Verena Katzke Germany
Naim Ata Türkiye
Azmi Nabulsi United States
Rhonda Arthur United States
J. Green United Kingdom
Olufemi J. Ogunbiyi Nigeria
Paulette D. Chandler United States
A. van den Ende Netherlands
V. Giner relative to Jennifer Sung United States Jennifer Sung's profile →
Citations per field
00.5×3.8×
Jennifer Sung · 1×
Citations per year

Countries citing papers authored by V. Giner

Since Specialization
Citations

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

Fields of papers citing papers by V. Giner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside V. Giner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Giner Line = papers co-authored together V. Giner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20227
3 20191
4 20188
5 20104
6 200720
7 20071
8 200710
9 200718
10 200638
11 200439
12 200310
13 20029
14 200231
15
Prognostic factors analysis for response to chemotherapy and survival in a prospective cohort of patients with unresectable locoregional non small cell lung cancer initially treated by induction chemotherapy
19992
16 199920
17 199824
18 199811
19 199654
20 199428

About V. Giner

V. Giner is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (29 papers), Lung Cancer Research Studies (23 papers), Lung Cancer Diagnosis and Treatment (16 papers), Blood Pressure and Hypertension Studies (10 papers), Hormonal Regulation and Hypertension (7 papers), Neuroendocrine Tumor Research Advances (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Sodium Intake and Health (5 papers). The work is most often cited by research in Oncology (404 citations), Endocrinology, Diabetes and Metabolism (245 citations) and Cardiology and Cardiovascular Medicine (252 citations). V. Giner has collaborated with scholars based in Spain, Belgium and France. Frequent co-authors include Ernesto Bragulat, António Coca, Alejandro de la Sierra, Esteban Poch, Daniel González, Jean‐Paul Sculier, M.C. Berchier, Josep Redón, Jean Klášterský and J. Lecomte. Their work appears in journals such as Lung Cancer, Journal of Clinical Oncology, European Journal of Cancer, Annals of Oncology and American Journal of Hypertension.

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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