Daniel Nan

25 papers receiving 606 citations

Peers

Daniel Nan
Comparison fields: 5 of 86
  • Orthopedics and Sports Medicine 204
  • Pathology and Forensic Medicine 230
  • Nutrition and Dietetics 146
  • Infectious Diseases 154
  • Nephrology 31
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Danielle Labbato United States
Ian M Godber United Kingdom
Helle Frost Andreassen Denmark
Mostafa Abdelsalam Egypt
D. Griffin Ireland
Abbas Ismail United Kingdom
Maria Kalafateli Greece
A J Little United Kingdom
Charalambos Kartsios Greece
A. Özdemir Aktan Türkiye
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Citations per year

Countries citing papers authored by Daniel Nan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Nan, 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 Nan Line = papers co-authored together Daniel Nan 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 2020203
2 201087
3 201042
4 201040
5 200538
6 201230
7 201026
8 200320
9 200918
10 201317
11 201112
12 201612
13 200611
14 200011
15 200511
16 202110
17
Human herpesvirus 8 and Epstein-Barr virus coinfection in localized Castleman disease during pregnancy.
20059
18 20206
19 20214
20 20034

About Daniel Nan

Daniel Nan is a scholar working on Surgery, Orthopedics and Sports Medicine, Epidemiology, Infectious Diseases and Molecular Biology, having authored 27 papers that have together received 622 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (9 papers), Vitamin D Research Studies (4 papers), Surgical site infection prevention (3 papers), Bone health and treatments (3 papers), Mast cells and histamine (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Pleural and Pulmonary Diseases (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (204 citations), Pathology and Forensic Medicine (230 citations), Nutrition and Dietetics (146 citations), Infectious Diseases (154 citations) and Nephrology (31 citations). Daniel Nan has collaborated with scholars based in Spain and Brazil. Frequent co-authors include José M. Olmos, José L. Hernández, Jesús González-Macı́as, Marta Fernández‐Ayala, Carmen Valero, Josefina Martínez, Miguel A. Hernández‐Hernández, Marcos López‐Hoyos, Pedro Muñoz and Javier Llorca. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Maturitas, CHEST Journal, Clinical Chemistry and Laboratory Medicine (CCLM) and Journal of Bone and Mineral Metabolism.

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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