Grace Wang

100 papers receiving 2.6k citations

Peers

Grace Wang
Comparison fields: 5 of 161
  • Cancer Research 343
  • Speech and Hearing 153
  • Pathology and Forensic Medicine 381
  • Oncology 568
  • Health, Toxicology and Mutagenesis 245
Replace Michael E. Scheurer with:
Michael E. Scheurer United States
Logan G. Spector United States
Chong Ae Kim Brazil
Simona Iodice Italy
Manuel Posada de la Paz Spain
Ute Latza Germany
Róza Ádány Hungary
Corrado Magnani Italy
Jacqueline Clavel France
Grace Wang relative to Michael E. Scheurer United States Michael E. Scheurer's profile →
Citations per field
00.5×1.7×
Michael E. Scheurer · 1×
Citations per year

Countries citing papers authored by Grace Wang

Since Specialization
Citations

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

Fields of papers citing papers by Grace Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014301
2 2011256
3 2011172
4 2015132
5 2018115
6 201592
7 202190
8 201771
9 201559
10 201559
11 201159
12 201758
13 201958
14 200658
15 200956
16 201556
17 201849
18 201145
19 201342
20 199940

About Grace Wang

Grace Wang is a scholar working on Oncology, Genetics, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and General Health Professions, having authored 106 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), HER2/EGFR in Cancer Research (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Platelet Disorders and Treatments (6 papers), Genetic factors in colorectal cancer (5 papers), Healthcare Policy and Management (5 papers), Musculoskeletal pain and rehabilitation (5 papers) and BRCA gene mutations in cancer (5 papers). The work is most often cited by research in Cancer Research (343 citations), Speech and Hearing (153 citations), Pathology and Forensic Medicine (381 citations), Oncology (568 citations) and Health, Toxicology and Mutagenesis (245 citations). Grace Wang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Mark J. Mendell, Wanda Phipatanakul, Jonathan M. Gaffin, Watcharoot Kanchongkittiphon, Tianqing Peng, Guo‐Chang Fan, Maria‐Laura Mancianti, Joy Wang, Ervin H. Epstein and Miriam Kuppermann. Their work appears in journals such as Blood, Transfusion, Journal of Cutaneous Pathology, Maternal and Child Health Journal and Marine Policy.

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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