This map shows the geographic impact of research published in Med. 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 papers published in Med with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Med more than expected).
This network shows the impact of papers published in Med. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Med.
About Med
The 716 papers published in Med in the last decades have received a total of 12.3k indexed citations . Papers published in Med usually cover Infectious Diseases (68 papers), Oncology (68 papers), Health Informatics (4 papers), Virology (9 papers) and Genetics (12 papers) specifically the topics of SARS-CoV-2 and COVID-19 Research (44 papers), Cancer Immunotherapy and Biomarkers (29 papers), CAR-T cell therapy research (23 papers), COVID-19 Clinical Research Studies (14 papers), Gut microbiota and health (14 papers), Liver Disease Diagnosis and Treatment (13 papers), Multiple Sclerosis Research Studies (12 papers) and Lung Cancer Treatments and Mutations (11 papers). The most active scholars publishing in Med are Gerd Heusch, Felipe Pereira, Jayakrishna Ambati, Siddharth Narendran, Joseph Magagnoli, James W. Hardin, S. Scott Sutton, Tammy H. Cummings, Hans C. Clevers and Shree Bose.
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.