Guang‐Shing Cheng

57 papers receiving 1.3k citations

Peers

Guang‐Shing Cheng
Comparison fields: 5 of 97
  • Hematology 441
  • Transplantation 45
  • Biological Psychiatry 28
  • Pharmacology 183
  • Pulmonary and Respiratory Medicine 336
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Frieder Keller Germany
Randall L. Rosenblatt United States
Gabriele Halwachs‐Baumann Austria
Idit F. Schwartz Israel
Tina Mele Canada
Hans van der Hoeven Netherlands
Manuel Díaz‐Rubio Spain
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Robert Burakoff United States
Vadim Sherman United States
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Citations per year

Countries citing papers authored by Guang‐Shing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Shing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Shing Cheng. 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 Guang‐Shing Cheng. The network helps show where Guang‐Shing Cheng may publish in the future.

Co-authors

The 25 scholars most cited alongside Guang‐Shing Cheng, 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 Guang‐Shing Cheng Line = papers co-authored together Guang‐Shing Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017182
2 2020159
3 2015125
4 2006104
5 201760
6 201359
7 201649
8 202240
9 201739
10 201731
11 201431
12 202030
13 201930
14 201928
15 201327
16 201525
17 201724
18 202223
19 201920
20 201820

About Guang‐Shing Cheng

Guang‐Shing Cheng is a scholar working on Hematology, Oncology, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (21 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (18 papers), Hematopoietic Stem Cell Transplantation (18 papers), Polyomavirus and related diseases (12 papers), Antifungal resistance and susceptibility (7 papers), Respiratory viral infections research (7 papers), Neutropenia and Cancer Infections (6 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Hematology (441 citations), Transplantation (45 citations), Biological Psychiatry (28 citations), Pharmacology (183 citations) and Pulmonary and Respiratory Medicine (336 citations). Guang‐Shing Cheng has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include Steven A. Pergam, Michael Boeckh, Paul J. Martin, Stephanie J. Lee, Jesse R. Fann, Christine M. Lee, Kelsey K. Baker, Sara Marquis, Maresa C. Woodfield and Xing‐Hua Xia. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Open Forum Infectious Diseases, Transplantation and Cellular Therapy, Blood Advances and The Journal of Infectious Diseases.

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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