Aina Sievers

1.3k citations
28 papers · 942 · h-index 14

Impact in

Papers in

    • Mycobacterium research and diagnosis 24
    • Pneumocystis jirovecii pneumonia detection and treatment 2
    • Tuberculosis Research and Epidemiology 24

Aina Sievers

28 papers receiving 893 citations

Peers

Aina Sievers
Comparison fields: 5 of 75
  • Small Animals 304
  • Infectious Diseases 606
  • Epidemiology 811
  • Microbiology 11
  • Surgery 256
Replace Maria Globan with:
Maria Globan Australia
Harri Marttila Finland
Chris Coulter Australia
Sean Toney United States
Daniel Greaves United Kingdom
Natalie Williams‐Bouyer United States
Faïza Mougari France
C. Cavanna Italy
Érica Chimara Brazil
Adwoa Asante-Poku Ghana
Aina Sievers relative to Maria Globan Australia Maria Globan's profile →
Citations per field
00.5×1.6×
Maria Globan · 1×
Citations per year

Countries citing papers authored by Aina Sievers

Since Specialization
Citations

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

Fields of papers citing papers by Aina Sievers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007161
2 1999140
3 1997120
4 200883
5 199363
6 199255
7 200552
8 199236
9 201233
10 199128
11 201121
12 201319
13 201617
14 200316
15 199113
16 201313
17 199312
18 200310
19 19959
20 20077

About Aina Sievers

Aina Sievers is a scholar working on Epidemiology, Infectious Diseases, Surgery, Ecology and Small Animals, having authored 28 papers that have together received 942 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (24 papers), Diagnosis and treatment of tuberculosis (11 papers), Bacteriophages and microbial interactions (4 papers), Infectious Diseases and Tuberculosis (3 papers), Infectious Diseases and Mycology (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Small Animals (304 citations), Infectious Diseases (606 citations), Epidemiology (811 citations), Microbiology (11 citations) and Surgery (256 citations). Aina Sievers has collaborated with scholars based in Australia, Uganda and Mozambique. Frequent co-authors include B C Ross, Paul D. R. Johnson, Timothy P. Stinear, Roy M. Robins‐Browne, Maria Globan, Brian Dwyer, Caroline J. Lavender, Kathy Merlock Jackson, Janet Fyfe and Frances Oppedisano. Their work appears in journals such as Journal of Clinical Microbiology, The International Journal of Tuberculosis and Lung Disease, Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases and Pathology.

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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