Sarah Witt

737 citations
6 papers · 560 indexed · 1 hit paper · h-index 5
Topics
Rheumatoid Arthritis Research and Therapies (5 papers)Systemic Lupus Erythematosus Research (3 papers)Autoimmune and Inflammatory Disorders Research (3 papers)

In The Last Decade

Sarah Witt

6 papers receiving 554 citations

Hit Papers

Baricitinib in patients with inadequate response or intol...20162026201920222016100200300

Peers

Sarah Witt
Comparison fields: 5 of 52
  • Rheumatology 422
  • Hematology 213
  • Oncology 135
  • Genetics 130
  • Immunology 96
Replace D. Schlichting with:
D. Schlichting United States
Kouichi Amano Japan
Serena Merante Italy
Gerlinde Mitterbauer‐Hohendanner Austria
Salman Fazal United States
Ilana Zalcberg Brazil
Annette M. May Germany
Hiromi Koiso Japan
Mariko Yabe United States
Yue‐Yun Lai China
Sarah Witt relative to D. Schlichting United States D. Schlichting's profile →
Citations per field
00.5×3.1×
D. Schlichting · 1×
Citations per year

Countries citing papers authored by Sarah Witt

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Witt

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Witt. A scholar is included among the top collaborators of Sarah Witt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah Witt. Sarah Witt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 66
2 134
3 47
4
BARICITINIB INHIBITS RADIOGRAPHIC PROGRESSION OF STRUCTURAL JOINT DAMAGE AT 1 YEAR IN PATIENTS WITH RHEUMATOID ARTHRITIS (RA) AND AN INADEQUATE RESPONSE TO CONVENTIONAL SYNTHETIC DISEASE-MODIFYING ANTIRHEUMATIC DRUGS (CSDMARDS)
1
5 11
6
Baricitinib in patients with inadequate response or intolerance to conventional synthetic DMARDs: results from the RA-BUILD studybreakdown →
301

About Sarah Witt

Sarah Witt is a scholar working on Rheumatology, Hematology and Neurology, having authored 6 papers that have together received 560 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (5 papers), Systemic Lupus Erythematosus Research (3 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). The work is most often cited by research in Rheumatology (422 citations), Hematology (213 citations) and Genetics (130 citations). Sarah Witt has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Terence Rooney, Maxime Dougados, Douglas Schlichting, Paul Emery, Stephanie de Bono, Désirée van der Heijde, Ying‐Chou Chen, Maria Greenwald, Scott D. Beattie and Edit Drescher. Their work appears in journals such as Brain Research, Annals of the Rheumatic Diseases and Arthritis & 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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