Danny Guo

1.2k citations
21 papers · 1.0k · h-index 8

Impact in

Papers in

Danny Guo

19 papers receiving 1.0k citations

Peers

Danny Guo
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 522
  • Endocrinology, Diabetes and Metabolism 228
  • Infectious Diseases 187
  • Pharmacology 142
  • Genetics 54
Replace Nicola E. Clarke with:
Nicola E. Clarke United Kingdom
Lawrence S. Zisman United States
Brendan Nicholas Putko Canada
Elisabeth Schieffer Germany
Ichiro Koni Japan
Anandharajan Rathinasabapathy United States
Huguette Louis France
István Mazák Hungary
D. Gouet France
Heng Ge China
Danny Guo relative to Nicola E. Clarke United Kingdom Nicola E. Clarke's profile →
Citations per field
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Nicola E. Clarke · 1×
Citations per year

Countries citing papers authored by Danny Guo

Since Specialization
Citations

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

Fields of papers citing papers by Danny Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danny Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danny Guo Line = papers co-authored together Danny Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010397
2 2010204
3 2009194
4 201176
5 201051
6 199941
7 201318
8 200015
9 20118
10 20197
11 20166
12 20106
13 20165
14 20233
15 20143
16 20102
17 20182
18 20181
19 20211
20 20260

About Danny Guo

Danny Guo is a scholar working on Dermatology, Cardiology and Cardiovascular Medicine, Oncology, Hematology and Cell Biology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), Renin-Angiotensin System Studies (4 papers), Cutaneous lymphoproliferative disorders research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Skin Protection and Aging (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (522 citations), Endocrinology, Diabetes and Metabolism (228 citations), Infectious Diseases (187 citations), Pharmacology (142 citations) and Genetics (54 citations). Danny Guo has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Gavin Y. Oudit, Zamaneh Kassiri, Josef Martin Penninger, Jiuchang Zhong, Ratnadeep Basu, Xiuhua Wang, Manfred Schuster, Hans Loibner, James William Scholey and Fung Lan Chow. Their work appears in journals such as Journal of Cutaneous Medicine and Surgery, Bone Marrow Transplantation, Dermatologic Surgery, Canadian Medical Association Journal and JNCI Journal of the National Cancer Institute.

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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