Elsevier Sdol is a scholar working on Molecular Biology, Civil and Structural Engineering and Cardiology and Cardiovascular Medicine.
According to data from OpenAlex, Elsevier Sdol has authored 113 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Civil and Structural Engineering and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Elsevier Sdol's work include Manufacturing Process and Optimization (2 papers), Traditional Chinese Medicine Studies (2 papers) and Cancer, Lipids, and Metabolism (2 papers). Elsevier Sdol is often cited by papers focused on Manufacturing Process and Optimization (2 papers), Traditional Chinese Medicine Studies (2 papers) and Cancer, Lipids, and Metabolism (2 papers). Elsevier Sdol collaborates with scholars based in . Elsevier Sdol's co-authors include and has published in prestigious journals such as .
In The Last Decade
Elsevier Sdol
111 papers
receiving
12.3k citations
Hit Papers
What are hit papers?
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.
Transportation Research Part A: Policy and Practice
This map shows the geographic impact of Elsevier Sdol'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 Elsevier Sdol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elsevier Sdol more than expected).
This network shows the impact of papers produced by Elsevier Sdol. 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 Elsevier Sdol. The network helps show where Elsevier Sdol may publish in the future.
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.