Tessa Sanderson

1.2k citations
28 papers · 906 indexed · h-index 15

Tessa Sanderson

27 papers receiving 889 citations

Peers

Tessa Sanderson
Comparison fields: 5 of 92
  • Rheumatology 549
  • Hematology 288
  • Pathology and Forensic Medicine 153
  • Genetics 67
  • Family Practice 13
Replace Patricia Minnock with:
Patricia Minnock Ireland
Amye Leong United States
W. Benjamin Nowell United States
Ingrid Thyberg Sweden
Ana‐Maria Orbai United States
K.W. Drossaers-Bakker Netherlands
Michaela Stoffer Austria
Theresa Hunter United States
I. Rupp Netherlands
Sarah Hewlett United Kingdom
Tessa Sanderson relative to Patricia Minnock Ireland Patricia Minnock's profile →
Citations per field
00.5×4.5×
Patricia Minnock · 1×
Citations per year

Countries citing papers authored by Tessa Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Tessa Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20150
2 201463
3 20146
4
'I'm an expert in me and I know what I can cope with': patient expertise in rheumatoid arthritis.
20134
5 20131
6 2012116
7 201213
8 201117
9 201114
10 2011113
11 201151
12 201135
13 201193
14 2010129
15 201096
16 200933
17 200917
18
Rheumatoid arthritis patients’ interpretation of the DAS patient global used at Bristol Royal Infirmary
20081
19
The role of identity in well-being and normality on rheumatoid arthritis: Narratives of age, gender and 'personhood'
20081
20
Tessa : my life in athletics
19862

About Tessa Sanderson

Tessa Sanderson is a scholar working on Rheumatology, Hematology and Pathology and Forensic Medicine, having authored 28 papers that have together received 906 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (17 papers), Autoimmune and Inflammatory Disorders Research (9 papers), Systemic Lupus Erythematosus Research (6 papers), Delphi Technique in Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (2 papers), Musculoskeletal synovial abnormalities and treatments (2 papers) and Spondyloarthritis Studies and Treatments (2 papers). The work is most often cited by research in Rheumatology (549 citations), Hematology (288 citations) and Pathology and Forensic Medicine (153 citations). Tessa Sanderson has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sarah Hewlett, Michael Calnan, P. Scott Richards, M. D. Morris, Marianne Morris, Thasia Woodworth, Rieke Alten, Susan J. Bartlett, Christoph Pohl and James E. May. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Nature Reviews 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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