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.
Contribution of Intimal Smooth Muscle Cells to Cholesterol Accumulation and Macrophage-Like Cells in Human Atherosclerosis
2014529 citationsSima Allahverdian, Bruce M. McManus et al.Circulationprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by Thomas Abraham
Since
Specialization
Citations
This map shows the geographic impact of Thomas Abraham'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 Thomas Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Abraham more than expected).
This network shows the impact of papers produced by Thomas Abraham. 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 Thomas Abraham. The network helps show where Thomas Abraham may publish in the future.
Co-authorship network of co-authors of Thomas Abraham
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Abraham.
A scholar is included among the top collaborators of Thomas Abraham 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 Thomas Abraham. Thomas Abraham is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dao, Viet T. & Thomas Abraham. (2018). An Exploratory Empirical Examination of the Integrated Sustainability Framework via Case Study.. Journal of the Association for Information Systems.2 indexed citations
4.
Abraham, Thomas & Viet T. Dao. (2017). An Empirical Investigation of Sustainability Innovation Systems and the Stages of Sustainability Maturity. Journal of the Association for Information Systems.4 indexed citations
5.
Abraham, Thomas & Kannan Mohan. (2015). Sustainability innovation systems (SIS): IT Investments and Stages of Sustainability Maturity. Journal of the Association for Information Systems.4 indexed citations
6.
Allahverdian, Sima, et al.. (2014). Contribution of Intimal Smooth Muscle Cells to Cholesterol Accumulation and Macrophage-Like Cells in Human Atherosclerosis. Circulation. 129(15). 1551–1559.529 indexed citations breakdown →
Abraham, Thomas, et al.. (2012). Extracellular keratinolytic proteases from an alkalophilic Streptomyces albidoflavus TBG-S13A5: enhanced production and characterization.. Journal of Pure and Applied Microbiology. 6(4). 1599–1607.2 indexed citations
Evans, David A.D., et al.. (2005). Effect of Pleurotus spp. on the basic immunological parameters in mice.. Journal of Mycopathological research. 43(1). 57–61.2 indexed citations
18.
Abraham, Thomas. (2005). Twentieth Century Plague, The Story Of Sars. The HKU Scholars Hub (University of Hong Kong).2 indexed citations
19.
Abraham, Thomas, et al.. (2000). Ayurvedic industrial waste (Kashaya waste) - a promising substrate for the cultivation of oyster mushrooms.. JOURNAL OF ECONOMIC AND TAXONOMIC BOTANY. 24(3). 700–704.1 indexed citations
20.
Abraham, Thomas. (1998). The Interactive, Virtual Management Information Systems (MIS) Classroom: Creating an Active Learning Environment on the Internet.. WebNet.9 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.