Mark Iwanochko

817 citations
15 papers · 514 · h-index 10

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Sarcoidosis and Beryllium Toxicity Research
    • Mesenchymal stem cell research

Papers in

Mark Iwanochko

14 papers receiving 488 citations

Peers

Mark Iwanochko
Comparison fields: 5 of 61
  • Physiology 202
  • Genetics 69
  • Biochemistry 24
  • Rheumatology 54
  • Cardiology and Cardiovascular Medicine 68
Replace Mark Piegore with:
Mark Piegore United States
Xuemei Yu China
Jihwa Chung South Korea
Nobutaka Tani Japan
Giorgio Carlo Ginesu Italy
Hailan Zhu China
Chaogui Lin China
Walter Siquini Italy
Solomon A. Mensah United States
Kazuhito Oba Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mark Iwanochko

Since Specialization
Citations

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

Fields of papers citing papers by Mark Iwanochko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2000140
2 201888
3 202258
4
Quantification of cardiac and tissue iron by nuclear magnetic resonance relaxometry in a novel murine thalassemia-cardiac iron overload model.
199642
5 200440
6
Cardiac transplantation for Fabry's disease.
199840
7 200532
8 202331
9 199825
10 198310
11 20153
12
Abstract 517: FDG PET Imaging Positively Impacts Management Direction and Predicts Outcomes in a Multicenter 'Real World' Setting
20092
13 20112
14 20181
15 20230

About Mark Iwanochko

Mark Iwanochko is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 15 papers that have together received 514 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (5 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cardiac Imaging and Diagnostics (1 paper), Lichen and fungal ecology (1 paper), Systemic Lupus Erythematosus Research (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Occupational exposure and asthma (1 paper). The work is most often cited by research in Physiology (202 citations), Genetics (69 citations), Biochemistry (24 citations), Rheumatology (54 citations) and Cardiology and Cardiovascular Medicine (68 citations). Mark Iwanochko has collaborated with scholars based in Canada, Netherlands and United Kingdom. Frequent co-authors include Robert J. Cusimano, Warren J. Cantor, Jagdish Butany, Shinji Tomita, Richard D. Weisel, Ren‐Ke Li, Donald A.G. Mickle, Eung-Joong Kim, Robert J. Burns and Leonard Schwartz. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Radiology, Circulation, Molecular Genetics and Metabolism and Archives of Microbiology.

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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