Mats Walder

83 papers receiving 1.8k citations

Peers

Mats Walder
Comparison fields: 5 of 124
  • Molecular Medicine 640
  • Applied Microbiology and Biotechnology 185
  • Endocrinology 303
  • Clinical Biochemistry 286
  • Infectious Diseases 622
Replace A. F. B. Cheng with:
A. F. B. Cheng Hong Kong
N Lambert-Zechovsky France
Elena Loza Spain
Ann B. Macone United States
Inga Odenholt Sweden
Denis W. Spelman Australia
Mariona Xercavins Spain
Juan-Ignacio Alós Spain
Beatriz Meurer Moreira Brazil
D. Milatović Germany
Mats Walder relative to A. F. B. Cheng Hong Kong A. F. B. Cheng's profile →
Citations per field
00.5×1.5×2.2×
A. F. B. Cheng · 1×
Citations per year

Countries citing papers authored by Mats Walder

Since Specialization
Citations

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

Fields of papers citing papers by Mats Walder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009132
2
Antimicrobial susceptibility testing in Sweden. III. Methodology for susceptibility testing.
1997115
3 198396
4 201090
5 199090
6 201074
7 200365
8 200661
9 197954
10 201146
11 201143
12 199441
13 200640
14 201239
15 198838
16 198537
17 198237
18 199836
19 198936
20 198134

About Mats Walder

Mats Walder is a scholar working on Molecular Medicine, Infectious Diseases, Pharmacology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (24 papers), Antibiotics Pharmacokinetics and Efficacy (22 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Salmonella and Campylobacter epidemiology (9 papers), Pneumonia and Respiratory Infections (8 papers), Urinary Tract Infections Management (6 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Molecular Medicine (640 citations), Applied Microbiology and Biotechnology (185 citations), Endocrinology (303 citations), Clinical Biochemistry (286 citations) and Infectious Diseases (622 citations). Mats Walder has collaborated with scholars based in Sweden, Switzerland and Finland. Frequent co-authors include Arne Forsgren, Inga Odenholt, Jan Ursing, Eva Melander, Marlene Wullt, Karin Sandstedt, Johan Tham, S Cronberg, Lennart Sanzén and B Olsson-Liljequist. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Infection Control and Hospital Epidemiology and Acta Oto-Laryngologica.

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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