Tom Kotsimbos

4.9k citations
127 papers · 3.1k indexed · h-index 34

Impact in

Papers in

Tom Kotsimbos

124 papers receiving 3.0k citations

Peers

Tom Kotsimbos
Comparison fields: 5 of 127
  • Transplantation 375
  • Pulmonary and Respiratory Medicine 1.1k
  • Epidemiology 1.0k
  • Surgery 843
  • Infectious Diseases 330
Replace John‐David Aubert with:
John‐David Aubert Switzerland
Stephanie T. Yerkovich Australia
Magdalena Durlik Poland
Allan R. Glanville Australia
Amado Andrés Spain
Amparó Solé Spain
Christian A. Merlo United States
Elias David‐Neto Brazil
Jefferson M. Jones United States
Pierluca Piselli Italy
Tom Kotsimbos relative to John‐David Aubert Switzerland John‐David Aubert's profile →
Citations per field
00.5×1.6×
John‐David Aubert · 1×
Citations per year

Countries citing papers authored by Tom Kotsimbos

Since Specialization
Citations

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

Fields of papers citing papers by Tom Kotsimbos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202310
3 20229
4 20214
5 20206
6 201933
7 201919
8 201963
9 201916
10 201812
11 2018151
12 201740
13 20171
14 201320
15 201033
16
ASID/TSANZ guidelines: Treatment and prevention of H1N1 influenza 09 (human swine influenza) with antiviral agents
200910
17 200875
18 200635
19 200598
20
Heparan sulphate expression is increased in cf compared to normal airway tissue
20011

About Tom Kotsimbos

Tom Kotsimbos is a scholar working on Transplantation, Pulmonary and Respiratory Medicine, Epidemiology, Modeling and Simulation and Immunology, having authored 127 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (45 papers), Transplantation: Methods and Outcomes (25 papers), Influenza Virus Research Studies (21 papers), Respiratory viral infections research (17 papers), Cytomegalovirus and herpesvirus research (17 papers), Immune Cell Function and Interaction (15 papers), Polyomavirus and related diseases (9 papers) and Neonatal Respiratory Health Research (9 papers). The work is most often cited by research in Transplantation (375 citations), Pulmonary and Respiratory Medicine (1.1k citations), Epidemiology (1.0k citations), Surgery (843 citations) and Infectious Diseases (330 citations). Tom Kotsimbos has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John Wilson, Bronwyn Levvey, Glen Westall, Michael Bailey, Nicole A. Mifsud, Trevor J. Williams, Gregory I. Snell, Helen Whitford, Allen Cheng and Susannah King. Their work appears in journals such as Journal of Cystic Fibrosis, The Journal of Heart and Lung Transplantation, Transplantation, The Medical Journal of Australia and Nutrition.

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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