Daniel Val

550 citations
27 papers · 367 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Dermatology top 10%
    • Cancer and Skin Lesions

Papers in

Daniel Val

26 papers receiving 359 citations

Peers

Daniel Val
Comparison fields: 5 of 60
  • Cancer Research 82
  • Dermatology 38
  • Rheumatology 57
  • Pulmonary and Respiratory Medicine 122
  • Pathology and Forensic Medicine 45
Replace Debomita Chakraborty with:
Debomita Chakraborty Germany
Dorthe Vang Larsen Denmark
Yasushi Okoshi Japan
Ye Shu China
Jin Haeng Chung South Korea
Jiro Ogino Japan
Irene Low New Zealand
Nicolas Weinbreck France
C. Soon Lee Australia
Qinzhong Chen United States
Daniel Val relative to Debomita Chakraborty Germany Debomita Chakraborty's profile →
Citations per field
00.5×10×15×18×
Debomita Chakraborty · 1×
Citations per year

Countries citing papers authored by Daniel Val

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Val

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Val, 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 Daniel Val Line = papers co-authored together Daniel Val links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019143
2 200844
3 200723
4 200221
5 200819
6 201314
7 200113
8 201013
9 200811
10 20129
11 20118
12 20116
13 20065
14 20125
15 20155
16 20065
17 20114
18 20053
19
Intraoral tumor with rapid growing. Report of a case.
20063
20 20092

About Daniel Val

Daniel Val is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Rheumatology, Molecular Biology and Oncology, having authored 27 papers that have together received 367 indexed citations. Recurring topics across this work include Soft tissue tumor case studies (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Cancer and Skin Lesions (4 papers), Renal cell carcinoma treatment (3 papers), Renal and related cancers (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Nonmelanoma Skin Cancer Studies (3 papers) and Cardiac tumors and thrombi (3 papers). The work is most often cited by research in Cancer Research (82 citations), Dermatology (38 citations), Rheumatology (57 citations), Pulmonary and Respiratory Medicine (122 citations) and Pathology and Forensic Medicine (45 citations). Daniel Val has collaborated with scholars based in Spain, Luxembourg and United States. Frequent co-authors include J. Fernando Val‐Bernal, M. Francisca Garijo, Serge Haan, Nikolaus Zuegel, Sónia Frasquilho, Fabien Rodriguez, Alfonso Vega, Eric Koncina, Bassam Janji and Vitaly I. Pozdeev. Their work appears in journals such as American Journal of Dermatopathology, Journal of Cutaneous Pathology, Cardiovascular Pathology, Cartilage and Autophagy.

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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