Daniel Ramos

11 papers receiving 478 citations

Peers

Daniel Ramos
Comparison fields: 5 of 43
  • Cancer Research 283
  • Pathology and Forensic Medicine 98
  • Surgery 161
  • Oncology 99
  • Dermatology 11
Replace K.A.J. von Smitten with:
K.A.J. von Smitten Finland
F.W.C. van der Ent Netherlands
Deborah Capko United States
R.A.M. Kengen Netherlands
Giuliano Scalco Italy
Piercarlo Rey Italy
Rafael Fábregas Spain
Consuelo Morigi Italy
V. Zanini Italy
Karen Hock United States
Daniel Ramos relative to K.A.J. von Smitten Finland K.A.J. von Smitten's profile →
Citations per field
00.5×5.7×
K.A.J. von Smitten · 1×
Citations per year

Countries citing papers authored by Daniel Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2009266
2 2007104
3 201031
4 200926
5 200824
6 202021
7 201212
8 20108
9 20127
10 20251
11 20211
12
Disfunción tiroidea subclínica. Consideraciones diagnósticas y terapéuticas
20061
13
Metástasis cerebrales en pacientes con cáncer de tiroides
20171
14 20200

About Daniel Ramos

Daniel Ramos is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 14 papers that have together received 503 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Breast Implant and Reconstruction (2 papers), Thyroid Disorders and Treatments (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Respiratory Support and Mechanisms (1 paper), Pleural and Pulmonary Diseases (1 paper), Global Cancer Incidence and Screening (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Cancer Research (283 citations), Pathology and Forensic Medicine (98 citations), Surgery (161 citations), Oncology (99 citations) and Dermatology (11 citations). Daniel Ramos has collaborated with scholars based in United States, Mexico and Spain. Frequent co-authors include Charles E. Cox, Tammi Meade, Paramjeet Kaur, Corinne Shamehdi, Alfredo A. Santillan, Michelle Davis, Kandace P. McGuire, John V. Kiluk, John M. Cox and Elisabeth Dupont. Their work appears in journals such as Annals of Surgical Oncology, BMJ Supportive & Palliative Care, The Breast Journal, Journal of the American College of Surgeons and Mathematical and Computational Applications.

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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