Daniel E. Fürst

34.4k citations
258 papers · 22.1k indexed · 6 hit papers · h-index 64

Daniel E. Fürst

254 papers receiving 21.2k citations

Hit Papers

American College of Rheumatology 2010 rec...516199320262004201550010001.5k2.0k

Peers

Daniel E. Fürst
Comparison fields: 5 of 175
  • Rheumatology 12.3k
  • Hematology 5.3k
  • Pathology and Forensic Medicine 5.0k
  • Genetics 2.6k
  • Immunology 4.6k
Replace Michael H. Weisman with:
Michael H. Weisman United States
Vibeke Strand United States
Yoshiya Tanaka Japan
Frank C. Arnett United States
Larry W. Moreland United States
Ben A. C. Dijkmans Netherlands
Josef S Smolen Austria
Mark C. Genovese United States
Edward Keystone Canada
Ronald van Vollenhoven Sweden
Daniel E. Fürst relative to Michael H. Weisman United States Michael H. Weisman's profile →
Citations per field
00.5×1.5×2.1×
Michael H. Weisman · 1×
Citations per year

Countries citing papers authored by Daniel E. Fürst

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Fürst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20221
3 202121
4 20196
5 201812
6 20171
7 201326
8 2012241
9 201153
10 201117
11 201034
12 20095
13 200858
14 200823
15 200730
16
Recombinant Human Relaxin in the Treatment of Scleroderma
200044
17 1999355
18 199525
19 199412
20
Nonsteroidal anti-inflammatory drugs : mechanisms and clinical use
198741

About Daniel E. Fürst

Daniel E. Fürst is a scholar working on Rheumatology, Pathology and Forensic Medicine and Hematology, having authored 258 papers that have together received 22.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (133 papers), Systemic Sclerosis and Related Diseases (69 papers), Systemic Lupus Erythematosus Research (54 papers), Autoimmune and Inflammatory Disorders Research (41 papers), Chronic Lymphocytic Leukemia Research (31 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (28 papers), Lymphoma Diagnosis and Treatment (22 papers) and Inflammatory Myopathies and Dermatomyositis (20 papers). The work is most often cited by research in Rheumatology (12.3k citations), Hematology (5.3k citations) and Pathology and Forensic Medicine (5.0k citations). Daniel E. Fürst has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael H. Weisman, Peter E. Lipsky, Ravinder N. Maini, Paul Emery, E. William St. Clair, Joachim R. Kalden, Marc Feldmann, Gregory R. Harriman, Ferdinand C. Breedveld and Josef S Smolen. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken, The Journal of Rheumatology, Seminars in Arthritis and Rheumatism and Arthritis Care & Research.

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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