Charissa Chang

4.0k total citations
33 papers, 1.3k citations indexed

About

Charissa Chang is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Charissa Chang has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hepatology, 23 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Charissa Chang's work include Liver Disease Diagnosis and Treatment (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Liver Disease and Transplantation (10 papers). Charissa Chang is often cited by papers focused on Liver Disease Diagnosis and Treatment (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Liver Disease and Transplantation (10 papers). Charissa Chang collaborates with scholars based in United States, France and Spain. Charissa Chang's co-authors include Thomas D. Schiano, Stephen H. Caldwell, Josep M. Llovet, Robert K. Nakamoto, Lisa Krugner‐Higby, Swan N. Thung, Ana C. Tuyama, Clara Alsinet, Anja Lachenmayer and Sasan Roayaie and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Hepatology.

In The Last Decade

Charissa Chang

32 papers receiving 1.3k citations

Peers

Charissa Chang
Comparison fields: 5 of 98
  • Hepatology 724
  • Epidemiology 586
  • Pathology and Forensic Medicine 229
  • Surgery 194
  • Oncology 189
Replace Maurizio Biselli with:
Maurizio Biselli Italy
Térésa Antonini France
David W. Victor United States
Eleni Theocharidou United Kingdom
Yvonne Ayerki Nartey Ghana
Svenja Sydor Germany
Yuichi Yamazaki Japan
Andreas Benesic Germany
Elisa Pose Spain
Mehmet Sayıner United States
Maurizio Biselli Italy View profile →
Citations per field, relative to Charissa Chang
Charissa Chang · 1×
Citations per year, relative to Charissa Chang
Charissa Chang · 1×

Countries citing papers authored by Charissa Chang

Since Specialization
Citations

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

Fields of papers citing papers by Charissa Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charissa Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Charissa Chang. A scholar is included among the top collaborators of Charissa Chang 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 Charissa Chang. Charissa Chang 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
# Work Indexed citations
1 0
2 4
3 4
4 246
5 10
6 153
7 63
8 17
9 53
10 47
11 71
12 4
13 10
14 36
15 17
16 11
17 10
18 189
19 41
20 103

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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