Niclas Thomas

1.8k citations
15 papers · 792 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 2
    • Immune Response and Inflammation 2
    • Mycobacterium research and diagnosis 2

Niclas Thomas

14 papers receiving 789 citations

Peers

Niclas Thomas
Comparison fields: 5 of 77
  • Hepatology 145
  • Immunology 354
  • Epidemiology 243
  • Virology 29
  • Infectious Diseases 105
Replace Emer Lawlor with:
Emer Lawlor Ireland
Takuya Matsumura Japan
Carl Jorns Sweden
Fotini Debonera United States
Malte Heeg Germany
Jean–François Méritet France
Tamsin Cargill United Kingdom
Sukanya Wattanapokayakit Thailand
A Glässner Germany
Niclas Thomas relative to Emer Lawlor Ireland Emer Lawlor's profile →
Citations per field
00.5×10×15×20×24.5×
Emer Lawlor · 1×
Citations per year

Countries citing papers authored by Niclas Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Niclas Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015221
2 201677
3 201375
4 201471
5 198569
6 202069
7 201663
8 201862
9 201534
10 201621
11 201511
12 20128
13 20136
14 19895
15 20130

About Niclas Thomas

Niclas Thomas is a scholar working on Immunology, Epidemiology, Surgery, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 792 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Mycobacterium research and diagnosis (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Response and Inflammation (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Hepatology (145 citations), Immunology (354 citations), Epidemiology (243 citations), Virology (29 citations) and Infectious Diseases (105 citations). Niclas Thomas has collaborated with scholars based in United Kingdom, Israel and Sweden. Frequent co-authors include Benny Chain, John Shawe‐Taylor, James Heather, Mala K. Maini, Katharine Best, Laura J. Pallett, Upkar S. Gill, Patrick Kennedy, Mahdad Noursadeghi and Wilfred Ndifon. Their work appears in journals such as Frontiers in Immunology, Bioinformatics, Nature Medicine, Gut and CHEST Journal.

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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