SQ Khan

540 citations
7 papers · 413 · h-index 5

Impact in

Papers in

    • Heart Failure Treatment and Management 2
    • Cardiac Fibrosis and Remodeling 2
    • Acute Myocardial Infarction Research 1
    • Peptidase Inhibition and Analysis 1
    • COVID-19 and healthcare impacts 1

SQ Khan

7 papers receiving 401 citations

Peers

SQ Khan
Comparison fields: 5 of 43
  • Rheumatology 158
  • Cardiology and Cardiovascular Medicine 151
  • Immunology 77
  • Cancer Research 48
  • Physiology 58
Replace Marian Wesseling with:
Marian Wesseling Netherlands
Hiroomi Tateishi Japan
Bernadett Faragó Hungary
Norio Ishigami Japan
Fatih Yalçın United States
Kenichiro Nishikawa Japan
Xuewen Qian China
Louise E. Full United Kingdom
C. Merlin France
SQ Khan relative to Marian Wesseling Netherlands Marian Wesseling's profile →
Citations per field
00.5×4.5×
Marian Wesseling · 1×
Citations per year

Countries citing papers authored by SQ Khan

Since Specialization
Citations

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

Fields of papers citing papers by SQ Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside SQ Khan, 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 SQ Khan Line = papers co-authored together SQ Khan links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2009174
2 2008108
3 200879
4 200745
5
Growth differentiation factor 15 as a prognostic marker in patients with acute myocardial infarction
20095
6 20211
7
C-terminal provasopressin (copeptin) is associated with left ventricular dysfunction, remodelling and clinical heart failure in survivors of myocardial infarction
20091

About SQ Khan

SQ Khan is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Rheumatology, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 7 papers that have together received 413 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (2 papers), GDF15 and Related Biomarkers (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Acute Myocardial Infarction Research (1 paper), Electrolyte and hormonal disorders (1 paper), Peptidase Inhibition and Analysis (1 paper), COVID-19 and healthcare impacts (1 paper) and Membrane-based Ion Separation Techniques (1 paper). The work is most often cited by research in Rheumatology (158 citations), Cardiology and Cardiovascular Medicine (151 citations), Immunology (77 citations), Cancer Research (48 citations) and Physiology (58 citations). SQ Khan has collaborated with scholars based in United Kingdom. Frequent co-authors include Leong L. Ng, P. Quinn, Joan E. Davies, Iain Squire, Matt Thompson, Gillian Cockerill, I B Squire, Kelvin Ng, Onkar S. Dhillon and Dominic F. Kelly. Their work appears in journals such as European Heart Journal, European Heart Journal Acute Cardiovascular Care, Heart, European Journal of Heart Failure and HighWire Press Open Archive.

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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