Natalie Cheng

1.1k citations
31 papers · 618 indexed · h-index 11

Impact in

Papers in

Natalie Cheng

30 papers receiving 608 citations

Peers

Natalie Cheng
Comparison fields: 5 of 95
  • Internal Medicine 152
  • Rehabilitation 77
  • Epidemiology 336
  • Neurology 116
  • Neurology 60
Replace Peter J. Morone with:
Peter J. Morone United States
Aftab Ahmad Singapore
Cumara B. O’Carroll United States
Tapan Mehta United States
Annette Aigner Germany
Cenai Zhang United States
Arvin R. Wali United States
Priyank Khandelwal United States
Viviane Flumignan Zétola Brazil
Tina Burton United States
Natalie Cheng relative to Peter J. Morone United States Peter J. Morone's profile →
Citations per field
00.5×
Peter J. Morone · 1×
Citations per year

Countries citing papers authored by Natalie Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20212
3 20214
4 20212
5 20214
6 202020
7 20207
8 20207
9 20204
10 20191
11 20160
12 201520
13 20153
14 201417
15 20149
16 20142
17 20131
18
Osteoporosis screening for men
20084
19 200825
20
A SECOND LOOK AT NURSES IN COLOR.
19652

About Natalie Cheng

Natalie Cheng is a scholar working on Internal Medicine, Family Practice, Health Informatics, Epidemiology and Neurology, having authored 31 papers that have together received 618 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (16 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Infective Endocarditis Diagnosis and Management (5 papers), Cerebral Venous Sinus Thrombosis (4 papers), Stroke Rehabilitation and Recovery (3 papers), IgG4-Related and Inflammatory Diseases (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Internal Medicine (152 citations), Rehabilitation (77 citations), Epidemiology (336 citations), Neurology (116 citations) and Neurology (60 citations). Natalie Cheng has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Anthony Kim, Alexander E. Merkler, Hooman Kamel, Babak B. Navi, Jacqueline Stone, Samuel Singer, Lisa M. DeAngelis, Mitchell S.V. Elkind, Costantino Iadecola and Michael Green. Their work appears in journals such as Stroke, Neurology, American Journal of Neuroradiology, Diagnosis and Scientific Reports.

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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