Thomas Barba

1.9k citations
33 papers · 797 · 1 hit paper · h-index 12

Impact in

Papers in

Thomas Barba

29 papers receiving 789 citations

Thomas Barba's Hit Papers

Therapeutic options in VEXAS syndrome: insights from a retrospective series 2021 · 169 citations
1690+1+3Years since publication50100150

Peers

Thomas Barba
Comparison fields: 5 of 65
  • Transplantation 94
  • Rheumatology 270
  • Genetics 137
  • Hematology 74
  • Pathology and Forensic Medicine 96
Replace Stephan Oertel with:
Stephan Oertel Germany
Jennifer Huggins United States
Rafael Cabrera Spain
Aliki Iniotaki Greece
Jason Butler Australia
Thomas G. Gross United States
Rodolfo Puccini Italy
Roni Tamari United States
Mathieu Jablonski France
A Maruta Japan
Thomas Barba relative to Stephan Oertel Germany Stephan Oertel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas Barba

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Barba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Therapeutic options in VEXAS syndrome: insights from a retrospective series
Hit paper breakdown →
2021169
2 2016103
3 201894
4 202174
5 202058
6 202151
7 201546
8 201842
9 201932
10 202524
11 202217
12 202216
13 201511
14 201610
15 20199
16 20248
17 20224
18 20174
19 20174
20 20253

About Thomas Barba

Thomas Barba is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Epidemiology, Rheumatology and Immunology, having authored 33 papers that have together received 797 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Parvovirus B19 Infection Studies (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Transplantation (94 citations), Rheumatology (270 citations), Genetics (137 citations), Hematology (74 citations) and Pathology and Forensic Medicine (96 citations). Thomas Barba has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Jean‐Christophe Lega, Yvan Jamilloux, Cécile‐Audrey Durel, Pierre Sujobert, Vincent Cottin, Estelle Bourbon, A. Hot, P. Sève, Fiorenza Barraco and Maël Heiblig. Their work appears in journals such as Frontiers in Immunology, Medicine, The Lancet Digital Health, npj Precision Oncology and GigaScience.

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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