Lily Y. Gu

562 citations
9 papers · 368 indexed · h-index 7
Topics
HIV/AIDS Research and Interventions (2 papers)COVID-19 and healthcare impacts (1 paper)COVID-19 and Mental Health (1 paper)
Partner nations
United StatesGhanaCanada

In The Last Decade

Lily Y. Gu

9 papers receiving 361 citations

Peers

Lily Y. Gu
Comparison fields: 5 of 82
  • General Health Professions 106
  • Infectious Diseases 84
  • Clinical Psychology 83
  • Oncology 76
  • Health 57
Replace Archelle Georgiou with:
Archelle Georgiou United States
Tiana N. Rogers United States
Saamir Pasha United States
Cameron G. Gmehlin United States
Ryan Hanson United States
Martin Reid United Kingdom
Gwenetta Curry United Kingdom
Domenico Pascucci Italy
Deniz Naghibi Iran
Adriana Perez United States
Lily Y. Gu relative to Archelle Georgiou United States Archelle Georgiou's profile →
Citations per field
00.5×4.5×
Archelle Georgiou · 1×
Citations per year

Countries citing papers authored by Lily Y. Gu

Since Specialization
Citations

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

Fields of papers citing papers by Lily Y. Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lily Y. Gu. 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 Lily Y. Gu. The network helps show where Lily Y. Gu may publish in the future.

Co-authorship network of co-authors of Lily Y. Gu

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 3
2 9
3 15
4 3
5 49
6 11
7 222
8
Examining factors underlying geographic disparities in early-onset colorectal cancer survival among men in the United States.
35
9 21

About Lily Y. Gu

Lily Y. Gu is a scholar working on Modeling and Simulation, Infectious Diseases and General Health Professions, having authored 9 papers that have together received 368 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (2 papers), COVID-19 and healthcare impacts (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Modeling and Simulation (42 citations), Health (57 citations) and Infectious Diseases (84 citations). Lily Y. Gu has collaborated with scholars based in United States, Ghana and Canada. Frequent co-authors include Fares Qeadan, Charles R. Rogers, Bin Yan, Tiana N. Rogers, Kevin H. Wyatt, Benjamin Tingey, A.I. Saeed, Esther Erdei, Justin X. Moore and Andreana N. Holowatyj. Their work appears in journals such as International Journal of Environmental Research and Public Health, Freshwater Biology and Addictive Behaviors.

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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