INGA BAESS

1.1k citations
25 papers · 1k · h-index 17

Impact in

    • Tuberculosis Research and Epidemiology
    • Leprosy Research and Treatment
    • Actinomycetales infections and treatment

Papers in

INGA BAESS

25 papers receiving 855 citations

Peers

INGA BAESS
Comparison fields: 5 of 44
  • Infectious Diseases 423
  • Microbiology 17
  • Epidemiology 535
  • Clinical Biochemistry 19
  • Endocrinology 12
Replace Abdelhakim Labidi with:
Abdelhakim Labidi United States
Karim Chemlal Belgium
Tran Phu Manh Sieu Vietnam
M. A. Soltys Canada
Guido Amalfitano Italy
H Tasaka Japan
Edith Mazars France
Hossein Mirhendi Iran
Damien Hoinard France
S Tsubaki Japan
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Citations per field
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Abdelhakim Labidi · 1×
Citations per year

Countries citing papers authored by INGA BAESS

Since Specialization
Citations

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

Fields of papers citing papers by INGA BAESS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002188
2 1972127
3 197994
4 200374
5 198369
6 198862
7 197445
8 196743
9 198235
10 197132
11 197827
12 198825
13 196623
14 196822
15 197822
16 196920
17 198420
18 198217
19 198614
20
Rapidly-growing mycobacteria. Susceptibility to bacteriophages, reactions in the amidase test, production of acid from carbohydrates, and growth at various temperatures.
196912

About INGA BAESS

INGA BAESS is a scholar working on Infectious Diseases, Epidemiology, Anatomy, Microbiology and Small Animals, having authored 25 papers that have together received 1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (16 papers), Tuberculosis Research and Epidemiology (10 papers), Genomics and Phylogenetic Studies (2 papers), Bacteriophages and microbial interactions (1 paper), Infectious Diseases and Mycology (1 paper), Bacterial Genetics and Biotechnology (1 paper), Medical and Biological Sciences (1 paper) and Leprosy Research and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (423 citations), Microbiology (17 citations), Epidemiology (535 citations), Clinical Biochemistry (19 citations) and Endocrinology (12 citations). INGA BAESS has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Troels Lillebæk, Asger Dirksen, Vibeke Østergaard Thomsen, Åse Bengård Andersen, Finn Saxegaard, Benedicte Strunge, Hans Chr. Engbæk, B Vergmann, Michael Weis Bentzon and Emilia Vynnycky. Their work appears in journals such as Apmis, The Journal of Infectious Diseases, Microbiology, Acta Pathologica Microbiologica Scandinavica and Acta Pathologica Microbiologica Scandinavica Section B Microbiology and Immunology.

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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