V. Taieb

648 citations
71 papers · 436 indexed · h-index 11

Impact in

Papers in

    • Spondyloarthritis Studies and Treatments 30
    • Rheumatoid Arthritis Research and Therapies 20
    • Autoimmune and Inflammatory Disorders Research 14

V. Taieb

65 papers receiving 428 citations

Peers

V. Taieb
Comparison fields: 5 of 82
  • Internal Medicine 31
  • Family Practice 13
  • Rheumatology 71
  • Hematology 46
  • Immunology 77
Replace Arnaldo Lichtenstein with:
Arnaldo Lichtenstein Brazil
A. Scott Mathis United States
Shankar Prasad Nagaraju India
Mickaël Basson France
Luca Morandi Italy
Hugh Kawabata United States
Everardo Álvarez‐Hernández Mexico
Kunal Kothari India
Kajohnsak Noppakun Thailand
Abhijit S. Naik United States
V. Taieb relative to Arnaldo Lichtenstein Brazil Arnaldo Lichtenstein's profile →
Citations per field
00.5×7.5×
Arnaldo Lichtenstein · 1×
Citations per year

Countries citing papers authored by V. Taieb

Since Specialization
Citations

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

Fields of papers citing papers by V. Taieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
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5 20246
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7 20241
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9 20231
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11 20237
12 20233
13 20231
14 20221
15 20191
16 20192
17 20174
18 20171
19 20161
20 20157

About V. Taieb

V. Taieb is a scholar working on Rheumatology, Hematology, Internal Medicine, Immunology and Statistics, Probability and Uncertainty, having authored 71 papers that have together received 436 indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (30 papers), Psoriasis: Treatment and Pathogenesis (22 papers), Rheumatoid Arthritis Research and Therapies (20 papers), Autoimmune and Inflammatory Disorders Research (14 papers), Diabetes Treatment and Management (8 papers), Meta-analysis and systematic reviews (7 papers), Statistical Methods in Clinical Trials (5 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). The work is most often cited by research in Internal Medicine (31 citations), Family Practice (13 citations), Rheumatology (71 citations), Hematology (46 citations) and Immunology (77 citations). V. Taieb has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Mondher Toumi, Kevin Bowrin, J Brière, A. Millier, Craig I Coleman, Nobuo Hirotsu, Samuel Aballéa, Olívia Wu, Hiroyuki Okumura and Shingo Shoji. Their work appears in journals such as Value in Health, RMD Open, Rheumatology and Therapy, Current Medical Research and Opinion and Annals of the Rheumatic Diseases.

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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