M. Hannu

577 total citations
9 papers, 401 citations indexed

About

M. Hannu is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. Hannu has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. Hannu's work include Transplantation: Methods and Outcomes (7 papers), Medical Imaging and Pathology Studies (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). M. Hannu is often cited by papers focused on Transplantation: Methods and Outcomes (7 papers), Medical Imaging and Pathology Studies (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). M. Hannu collaborates with scholars based in Australia, South Korea and United States. M. Hannu's co-authors include Sunita R. Jha, Phillip J. Newton, Peter S. Macdonald, Patricia M. Davidson, E. E. MONTGOMERY, M. Harkess, Sungwon Chang, Kay Wilhelm, Phillip Spratt and Andrew Jabbour and has published in prestigious journals such as Transplantation, The Journal of Heart and Lung Transplantation and Heart Failure Reviews.

In The Last Decade

M. Hannu

9 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Hannu Australia 6 218 160 159 100 60 9 401
E. E. MONTGOMERY Australia 7 182 0.8× 188 1.2× 131 0.8× 72 0.7× 41 0.7× 16 380
Sunita R. Jha Australia 10 316 1.4× 213 1.3× 240 1.5× 139 1.4× 98 1.6× 22 565
M. Harkess Australia 7 152 0.7× 283 1.8× 105 0.7× 81 0.8× 36 0.6× 16 450
Melissa Bendayan Canada 8 224 1.0× 91 0.6× 203 1.3× 179 1.8× 89 1.5× 10 408
Hilary Hayssen United States 6 140 0.6× 196 1.2× 339 2.1× 20 0.2× 20 0.3× 14 591
Michael Goldfarb Canada 7 124 0.6× 79 0.5× 81 0.5× 162 1.6× 38 0.6× 13 287
Louise B.D. Banning Netherlands 10 95 0.4× 97 0.6× 74 0.5× 78 0.8× 13 0.2× 19 262
Benoît DeVarennes Canada 7 60 0.3× 162 1.0× 17 0.1× 160 1.6× 20 0.3× 12 276
Stephen J. Kaplan United States 13 115 0.5× 190 1.2× 113 0.7× 60 0.6× 14 0.2× 27 425
Yasumori Sujino Japan 8 59 0.3× 35 0.2× 45 0.3× 194 1.9× 36 0.6× 17 259

Countries citing papers authored by M. Hannu

Since Specialization
Citations

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

Fields of papers citing papers by M. Hannu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hannu

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hannu. A scholar is included among the top collaborators of M. Hannu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Hannu. M. Hannu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
MONTGOMERY, E. E., Peter S. Macdonald, Phillip J. Newton, et al.. (2019). Frailty as a Predictor of Mortality in Patients With Interstitial Lung Disease Referred for Lung Transplantation. Transplantation. 104(4). 864–872. 37 indexed citations
2.
MONTGOMERY, E. E., Peter S. Macdonald, Phillip J. Newton, et al.. (2018). Reversibility of Frailty After Lung Transplantation. The Journal of Heart and Lung Transplantation. 37(4). S249–S249. 4 indexed citations
3.
MONTGOMERY, E. E., Peter S. Macdonald, Phillip J. Newton, et al.. (2018). Frailty as a Predictor of Prognostic Outcomes in Patients with Interstitial Lung Disease Referred for Lung Transplantation. The Journal of Heart and Lung Transplantation. 37(4). S165–S165. 2 indexed citations
4.
Jha, Sunita R., M. Hannu, Phillip J. Newton, et al.. (2017). Reversibility of Frailty After Bridge-to-Transplant Ventricular Assist Device Implantation or Heart Transplantation. Transplantation Direct. 3(7). e167–e167. 71 indexed citations
5.
Jha, Sunita R., M. Hannu, Sungwon Chang, et al.. (2016). Cognitive impairment improves the predictive validity of physical frailty for mortality in patients with advanced heart failure referred for heart transplantation. The Journal of Heart and Lung Transplantation. 35(9). 1092–1100. 82 indexed citations
6.
Jha, Sunita R., M. Hannu, Kay Wilhelm, et al.. (2016). Reversibility of Frailty in Advanced Heart Failure Patients Listed for Transplantation. The Journal of Heart and Lung Transplantation. 35(4). S29–S29. 3 indexed citations
7.
Jha, Sunita R., Louise Hickman, M. Hannu, et al.. (2015). Frailty in advanced heart failure: a systematic review. Heart Failure Reviews. 20(5). 553–560. 78 indexed citations
8.
Jha, Sunita R., M. Hannu, Phillip J. Newton, et al.. (2015). Frailty as a Predictor of Outcomes in Heart Transplant-Eligible Patients With Advanced Heart Failure. The Journal of Heart and Lung Transplantation. 34(4). S187–S188. 5 indexed citations
9.
Jha, Sunita R., M. Hannu, Sungwon Chang, et al.. (2015). The Prevalence and Prognostic Significance of Frailty in Patients With Advanced Heart Failure Referred for Heart Transplantation. Transplantation. 100(2). 429–436. 119 indexed citations

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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