James E. Andrews

3.2k citations
70 papers · 2.1k indexed · h-index 23
Topics
BRCA gene mutations in cancer (10 papers)Biomedical Text Mining and Ontologies (10 papers)Health Literacy and Information Accessibility (6 papers)

In The Last Decade

James E. Andrews

65 papers receiving 2.0k citations

Peers

James E. Andrews
Comparison fields: 5 of 188
  • General Health Professions 466
  • Sociology and Political Science 366
  • Artificial Intelligence 335
  • Molecular Biology 288
  • Genetics 265
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Citations per field
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Countries citing papers authored by James E. Andrews

Since Specialization
Citations

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

Fields of papers citing papers by James E. Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James E. Andrews

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 70
2 6
3
On the Use of Multimedia in Twitter Health Communication: Analysis of Tweets Regarding the Zika Virus
11
4 2
5
The question about questions: is DC a good choice to address the challenges of representation of clinical research questions and value sets?
0
6 8
7 23
8 18
9 49
10 21
11
Information-seeking behaviors of practitioners in a primary care practice-based research network (PBRN).
97
12 44
13
A Markov Chain Model for Evidence-adaptive Clinical Decision Support Systems
1
14
A bibliometric investigation of medical informatics : a communicative action perspective
1
15 4
16
Using Co-Occurrence Data to Determine a Thesaurus Structure
1
17 22
18 1
19 7
20 13

About James E. Andrews

James E. Andrews is a scholar working on Health Information Management, Health Informatics and Library and Information Sciences, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Health Literacy and Information Accessibility (6 papers). The work is most often cited by research in Library and Information Sciences (68 citations), Health Informatics (48 citations) and Information Systems and Management (178 citations). James E. Andrews has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Suzie Allard, J. David Johnson, Donald O. Case, W.E. Combs, Heather L. Ward, Rachel Richesson, JungWon Yoon, Jeffrey P. Krischer, Margaret M. Love and T A Slotkin. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Pharmacology and Experimental Therapeutics and IEEE Transactions on Fuzzy Systems.

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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