Melissa G. Chung

810 citations
27 papers · 239 indexed · h-index 11
Topics
Acute Ischemic Stroke Management (7 papers)Traumatic Brain Injury and Neurovascular Disturbances (6 papers)Sepsis Diagnosis and Treatment (3 papers)

In The Last Decade

Melissa G. Chung

25 papers receiving 232 citations

Peers

Melissa G. Chung
Comparison fields: 5 of 63
  • Neurology 95
  • Epidemiology 87
  • Hematology 41
  • Psychiatry and Mental health 39
  • Pediatrics, Perinatology and Child Health 36
Replace Raphael Weinberger with:
Raphael Weinberger Germany
Jayant Kumar Yadav Nepal
Pornchai Sathirapanya Thailand
Mária Regényi Switzerland
Paul H. Young United States
John P. Loh United States
Shuichiro Neshige Japan
Nandini Bakshi United States
Elena Miravet Spain
Pouya Entezami United States
Melissa G. Chung relative to Raphael Weinberger Germany Raphael Weinberger's profile →
Citations per field
00.5×2.7×
Raphael Weinberger · 1×
Citations per year

Countries citing papers authored by Melissa G. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Melissa G. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa G. Chung. 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 Melissa G. Chung. The network helps show where Melissa G. Chung may publish in the future.

Co-authorship network of co-authors of Melissa G. Chung

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 19
6 14
7 7
8 3
9 12
10 21
11 7
12 20
13 1
14 8
15 8
16 1
17 13
18 25
19 2
20 24

About Melissa G. Chung

Melissa G. Chung is a scholar working on Neurology, Internal Medicine and Critical Care and Intensive Care Medicine, having authored 27 papers that have together received 239 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (95 citations), Hematology (41 citations) and Internal Medicine (12 citations). Melissa G. Chung has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Nicole O’Brien, Warren Lo, Tensing Maa, Marlina E. Lovett, Brian Appavu, Mark T. Mackay, Lauren A. Beslow, Dana Harrar, Christine K. Fox and Mubeen F. Rafay. Their work appears in journals such as Neurology, Clinical Infectious Diseases and Stroke.

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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