Daniel Siri

1.2k citations
4 papers · 672 · 1 hit paper · h-index 4

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • Rheumatoid Arthritis Research and Therapies 1
    • Systemic Lupus Erythematosus Research 1
    • Autoimmune and Inflammatory Disorders Research 1

Daniel Siri

4 papers receiving 640 citations

Daniel Siri's Hit Papers

Comparison of tocilizumab monotherapy versus methotrexate monotherapy in patients with moderate to severe rheumatoid arthritis: the AMBITION study 2009 · 628 citations
6280+5+11Years since publication200400600

Peers

Daniel Siri
Comparison fields: 5 of 65
  • Rheumatology 493
  • Hematology 147
  • Immunology 135
  • Genetics 56
  • Oncology 70
Replace Nilzio A Da Silva with:
Nilzio A Da Silva Brazil
Marina Stanislav Russia
Mauro Waldemar Keiserman Brazil
Laura Nuño Spain
Sheila Kelly United States
D. van Schaardenburg Netherlands
Regina Kurrasch United States
Maiko Yoshikawa Japan
K. D. Watson United Kingdom
L.E. Burgers Netherlands
Daniel Siri relative to Nilzio A Da Silva Brazil Nilzio A Da Silva's profile →
Citations per field
00.5×4.3×
Nilzio A Da Silva · 1×
Citations per year

Countries citing papers authored by Daniel Siri

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Siri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1
Comparison of tocilizumab monotherapy versus methotrexate monotherapy in patients with moderate to severe rheumatoid arthritis: the AMBITION study
Hit paper breakdown →
2009628
2 202429
3 20208
4 20207

About Daniel Siri

Daniel Siri is a scholar working on Rheumatology, Hematology, Immunology, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 672 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Autoimmune and Inflammatory Disorders Research (1 paper). The work is most often cited by research in Rheumatology (493 citations), Hematology (147 citations), Immunology (135 citations), Genetics (56 citations) and Oncology (70 citations). Daniel Siri has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Thasia Woodworth, Juan J. Gómez‐Reino, Emma Alecock, Andrea Calvo, Anthony Sebba, Mitchell B. Lowenstein, Matija Tomšič, Jianhui Gu, M. C. Genovese and Graeme Jones. Their work appears in journals such as Arthritis & Rheumatology, Annals of the Rheumatic Diseases, Arthritis Care & Research and JCR Journal of Clinical Rheumatology.

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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