Kan Z. Gianattasio

1.0k total citations
27 papers, 643 citations indexed

About

Kan Z. Gianattasio is a scholar working on Psychiatry and Mental health, Health and General Health Professions. According to data from OpenAlex, Kan Z. Gianattasio has authored 27 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Psychiatry and Mental health, 7 papers in Health and 7 papers in General Health Professions. Recurrent topics in Kan Z. Gianattasio's work include Dementia and Cognitive Impairment Research (14 papers), Health disparities and outcomes (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Kan Z. Gianattasio is often cited by papers focused on Dementia and Cognitive Impairment Research (14 papers), Health disparities and outcomes (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Kan Z. Gianattasio collaborates with scholars based in United States, United Kingdom and China. Kan Z. Gianattasio's co-authors include Melinda C. Power, M. Maria Glymour, Adam Ciarleglio, Erin Bennett, Qiong Wu, Jeff D. Yanosky, Jennifer Weuve, Lynsie R Ranker, Sara D. Adar and N. Maritza Dowling and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Epidemiology and Environmental Health Perspectives.

In The Last Decade

Kan Z. Gianattasio

26 papers receiving 637 citations

Peers

Kan Z. Gianattasio
Comparison fields: 5 of 96
  • Psychiatry and Mental health 263
  • Health, Toxicology and Mutagenesis 172
  • General Health Professions 132
  • Health 122
  • Speech and Hearing 82
Replace Nicole Ee with:
Nicole Ee Australia
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D. Diane Zheng United States
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Citations per field, relative to Kan Z. Gianattasio
Kan Z. Gianattasio · 1×
Citations per year, relative to Kan Z. Gianattasio
Kan Z. Gianattasio · 1×

Countries citing papers authored by Kan Z. Gianattasio

Since Specialization
Citations

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

Fields of papers citing papers by Kan Z. Gianattasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kan Z. Gianattasio. 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 Kan Z. Gianattasio. The network helps show where Kan Z. Gianattasio may publish in the future.

Co-authorship network of co-authors of Kan Z. Gianattasio

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Z. Gianattasio. A scholar is included among the top collaborators of Kan Z. Gianattasio 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 Kan Z. Gianattasio. Kan Z. Gianattasio 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
# Work Indexed citations
1 1
2 0
3 3
4 1
5 2
6 5
7 8
8 16
9 2
10 126
11 29
12 2
13 9
14 16
15 1
16 90
17 1
18 9
19 47
20 1

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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