Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Early surgery versus initial conservative treatment in patients with spontaneous supratentorial intracerebral haematomas in the International Surgical Trial in Intracerebral Haemorrhage (STICH): a randomised trial
Countries citing papers authored by Abbasali Karimi
Since
Specialization
Citations
This map shows the geographic impact of Abbasali Karimi'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 Abbasali Karimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abbasali Karimi more than expected).
This network shows the impact of papers produced by Abbasali Karimi. 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 Abbasali Karimi. The network helps show where Abbasali Karimi may publish in the future.
Co-authorship network of co-authors of Abbasali Karimi
This figure shows the co-authorship network connecting the top 25 collaborators of Abbasali Karimi.
A scholar is included among the top collaborators of Abbasali Karimi 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 Abbasali Karimi. Abbasali Karimi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Abbasi, Kyomars, et al.. (2012). Knowledge Management in Cardiac Surgery: The Second Tehran Heart Center Adult Cardiac Surgery Database Report. SHILAP Revista de lepidopterología.9 indexed citations
Boroumand, Mohammad Ali, Maryam Sotoudeh Anvari, Saeed Shoar, et al.. (2011). Association between angiographically assessed coronary artery disease and serum levels of prostate specific antigen.. PubMed. 57(11-12). 975–81.3 indexed citations
14.
Ahmadi, Hossein, et al.. (2009). Left-Sided Endocarditis Associated with Multi-Drug Resistance Acinetobacter Lwoffii. SHILAP Revista de lepidopterología.2 indexed citations
15.
Soleimani, Abbas, et al.. (2009). Factors predicting discontinuation of a hospital-based cardiac rehabilitation programme.. PubMed. 67(2). 140–6; discussion 147.15 indexed citations
16.
Torabian, Saadat, et al.. (2009). One-month survival after coronary artery bypass graft (CABG). SHILAP Revista de lepidopterología.2 indexed citations
17.
Abbasi, Ali, Seyed Hesameddin Abbasi, Mehrab Marzban, et al.. (2008). Effect of Cardiac Rehabilitation Program on Heart Rate Recovery after Percutaneous Coronary Intervention and Coronary Artery Bypass Grafting. SHILAP Revista de lepidopterología.
18.
Sadeghian, Saeed, et al.. (2007). Using Workload to Predict Left Main Coronary Artery Stenosis in Candidates for Coronary Angiography. SHILAP Revista de lepidopterología.4 indexed citations
19.
Karimi, Abbasali, Seyed Hossein Ahmadi, Mehrab Marzban, et al.. (2007). Early Outcome of Coronary Artery Bypass Grafting in Patients with Severe Left Ventricular Dysfunction. SHILAP Revista de lepidopterología.1 indexed citations
20.
Karimi, Abbasali, et al.. (2002). Association of Cardiovascular Complications with Acute Phase Response in Kawasaki Patients. SHILAP Revista de lepidopterología. 9(325). 17–21.1 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.