I Maciver

846 citations
17 papers · 710 · h-index 13

Impact in

    • Bacterial Infections and Vaccines
    • Microbial infections and disease research
    • Antibiotic Resistance in Bacteria

Papers in

    • Pneumonia and Respiratory Infections 8
    • Pneumocystis jirovecii pneumonia detection and treatment 3
    • Bacterial Infections and Vaccines 4

I Maciver

17 papers receiving 665 citations

Peers

I Maciver
Comparison fields: 5 of 54
  • Microbiology 346
  • Molecular Medicine 148
  • Epidemiology 456
  • Endocrinology 41
  • Infectious Diseases 112
Replace Therése Nordström with:
Therése Nordström Sweden
Beth Baker United States
Jean‐Michel Alonso France
Elisa Ramos‐Sevillano United Kingdom
Charmaine Kirkham United States
Glen McGillivary United States
Michael Sebert United States
Laura S. Houston United States
J.-M. Alonso France
Marla K. Stevens United States
I Maciver relative to Therése Nordström Sweden Therése Nordström's profile →
Citations per field
00.5×1.5×1.9×
Therése Nordström · 1×
Citations per year

Countries citing papers authored by I Maciver

Since Specialization
Citations

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

Fields of papers citing papers by I Maciver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1993102
2 199797
3 199484
4 199375
5 199261
6 199659
7 199644
8 199642
9 199740
10 199528
11 199320
12 199519
13 199117
14 199310
15 19907
16 19964
17 19921

About I Maciver

I Maciver is a scholar working on Epidemiology, Microbiology, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 710 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (8 papers), Bacterial Infections and Vaccines (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Bacterial Genetics and Biotechnology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Microbiology (346 citations), Molecular Medicine (148 citations), Epidemiology (456 citations), Endocrinology (41 citations) and Infectious Diseases (112 citations). I Maciver has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include E J Hansen, Jo L. Latimer, Leslie D. Cope, George H. McCracken, Merja Helminen, G. H. McCracken, Maria Paris, Christoph Aebi, Sharon E. Thomas and Julia Klesney‐Tait. Their work appears in journals such as Infection and Immunity, The Journal of Infectious Diseases, Journal of Medical Microbiology, Journal of Bacteriology and Pediatric Research.

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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