James Liang

20 papers and 340 indexed citations i.

About

James Liang is a scholar working on Hematology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, James Liang has authored 20 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 7 papers in Genetics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in James Liang’s work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Acute Myeloid Leukemia Research (3 papers). James Liang is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Acute Myeloid Leukemia Research (3 papers). James Liang collaborates with scholars based in United States, Australia and New Zealand. James Liang's co-authors include Jonathan B. Rothbard, Kwok M. Ho, Anand M. Gautam, Lars Fugger, Hugh O. McDevitt, Kate J. Wilson, Michael J. Wiley, Dongfang Liu, Geoff Bellingham and Philip Peng and has published in prestigious journals such as Blood, The Journal of Immunology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of James Liang i

Fields of papers citing papers by James Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Liang

Since Specialization
Citations

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

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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