Chanda Ho

655 citations
23 papers · 328 · h-index 9

Impact in

Papers in

    • Liver Disease and Transplantation 6
    • Hepatocellular Carcinoma Treatment and Prognosis 4
    • Hepatitis C virus research 3
    • Liver Disease Diagnosis and Treatment 6

Chanda Ho

19 papers receiving 326 citations

Peers

Chanda Ho
Comparison fields: 5 of 56
  • Hepatology 158
  • Organizational Behavior and Human Resource Management 42
  • Epidemiology 68
  • Family Practice 3
  • General Health Professions 34
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Chanda Ho relative to Heather McCurdy United States Heather McCurdy's profile →
Citations per field
00.5×10×14×
Heather McCurdy · 1×
Citations per year

Countries citing papers authored by Chanda Ho

Since Specialization
Citations

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

Fields of papers citing papers by Chanda Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018104
2 201775
3 201637
4 201324
5 201415
6 200713
7 201911
8 201511
9 20229
10 20138
11 20156
12 20253
13 20103
14 20253
15 20182
16 20201
17 20221
18 20181
19 20151
20 20240

About Chanda Ho

Chanda Ho is a scholar working on Hepatology, Epidemiology, Surgery, Organizational Behavior and Human Resource Management and General Health Professions, having authored 23 papers that have together received 328 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Healthcare Systems and Technology (4 papers), Hepatitis C virus research (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Mobile Health and mHealth Applications (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Hepatology (158 citations), Organizational Behavior and Human Resource Management (42 citations), Epidemiology (68 citations), Family Practice (3 citations) and General Health Professions (34 citations). Chanda Ho has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Sumeet K. Asrani, Elliot B. Tapper, Fasiha Kanwal, Avegail Flores, Michael L. Volk, John J. Poterucha, Bruce A. Luxon, Nadia Ovchinsky, Victor Ankoma‐Sey and Ralph Gonzales. Their work appears in journals such as Hepatology, Journal of Evaluation in Clinical Practice, Age and Ageing, Patient and Journal of the American College of Cardiology.

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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