Alexander Hsieh

996 total citations
15 papers, 75 citations indexed

About

Alexander Hsieh is a scholar working on Social Psychology, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Alexander Hsieh has authored 15 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in Molecular Biology and 4 papers in Clinical Psychology. Recurrent topics in Alexander Hsieh's work include Genomics and Rare Diseases (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Attachment and Relationship Dynamics (2 papers). Alexander Hsieh is often cited by papers focused on Genomics and Rare Diseases (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Attachment and Relationship Dynamics (2 papers). Alexander Hsieh collaborates with scholars based in United States, Ireland and Canada. Alexander Hsieh's co-authors include Sean D. Davis, Roy A. Bean, Laura M. Padilla‐Walker, Hyeoneui Kim, Michael Conway, Lucila Ohno‐Machado, Mindy K. Ross, Son Doan, Tatiana Glebova and Mike Conway and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Children and Youth Services Review.

In The Last Decade

Alexander Hsieh

14 papers receiving 71 citations

Peers

Alexander Hsieh
Comparison fields: 5 of 37
  • Clinical Psychology 26
  • Social Psychology 17
  • Molecular Biology 16
  • Artificial Intelligence 13
  • Sociology and Political Science 12
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Citations per field, relative to Alexander Hsieh
Alexander Hsieh · 1×
Citations per year, relative to Alexander Hsieh
Alexander Hsieh · 1×

Countries citing papers authored by Alexander Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Hsieh. A scholar is included among the top collaborators of Alexander Hsieh 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 Alexander Hsieh. Alexander Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 4
2 2
3 0
4 2
5 2
6 14
7 2
8 3
9 5
10
Standardizing Phenotype Variables in the Database of Genotypes and phenotypes (dbGaP) based on Information Models.
3
11
Identifying Age Variables in dbGaP using Natural Language Processing.
2
12 3
13 3
14 14
15 16

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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