T Bremell

3.0k citations
38 papers · 2.4k · h-index 26

Impact in

Papers in

    • Immune Response and Inflammation 7
    • Biochemical and Structural Characterization 5
    • Bacterial biofilms and quorum sensing 5

T Bremell

38 papers receiving 2.3k citations

Peers

T Bremell
Comparison fields: 5 of 101
  • Infectious Diseases 1.0k
  • Microbiology 276
  • Immunology 580
  • Immunology and Allergy 117
  • Clinical Biochemistry 100
Replace Mona Bajaj‐Elliott with:
Mona Bajaj‐Elliott United Kingdom
Lutz Hamann Germany
Takehiko Uchiyama Japan
Bas G. J. Surewaard Canada
Nicolas W.J. Schröder Germany
Paolo Mosci Italy
Majlis Svensson Sweden
Silke Niemann Germany
Cornelia Speth Austria
Ineke Verschueren Netherlands
T Bremell relative to Mona Bajaj‐Elliott United Kingdom Mona Bajaj‐Elliott's profile →
Citations per field
00.5×5.3×
Mona Bajaj‐Elliott · 1×
Citations per year

Countries citing papers authored by T Bremell

Since Specialization
Citations

This map shows the geographic impact of T Bremell'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 T Bremell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Bremell more than expected).

Fields of papers citing papers by T Bremell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993303
2 1994280
3 1992190
4 1991154
5 1998127
6 1997103
7 199096
8 200392
9 200286
10 199679
11 199473
12 199462
13 199660
14 199155
15 199453
16 201350
17 199946
18 199444
19 199543
20 199741

About T Bremell

T Bremell is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Rheumatology and Surgery, having authored 38 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), Immune Response and Inflammation (7 papers), Cell Adhesion Molecules Research (6 papers), Streptococcal Infections and Treatments (5 papers), Biochemical and Structural Characterization (5 papers), Orthopedic Infections and Treatments (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Microbiology (276 citations), Immunology (580 citations), Immunology and Allergy (117 citations) and Clinical Biochemistry (100 citations). T Bremell has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include A Tarkowski, Arturo Abdelnour, Cécilia Rydèn, A Tarkowski, Andrzej Tarkowski, Joseph M. Patti, Magnus Höök, Staffan Arvidson, Egidija Sakiniene and I M Nilsson. Their work appears in journals such as Infection and Immunity, Clinical & Experimental Immunology, The Journal of Infectious Diseases, Scandinavian Journal of Rheumatology 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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