Hongdo Do

3.8k citations
42 papers · 2.3k · 1 hit paper · h-index 23

Impact in

Papers in

Hongdo Do

42 papers receiving 2.2k citations

Hongdo Do's Hit Papers

Sequence Artifacts in DNA from Formalin-Fixed Tissues: Causes and Strategies for Minimization 2014 · 377 citations
3770+4+8Years since publication100200300

Peers

Hongdo Do
Comparison fields: 5 of 103
  • Cancer Research 717
  • Oncology 611
  • Pulmonary and Respiratory Medicine 607
  • Molecular Biology 1.1k
  • Pathology and Forensic Medicine 252
Replace Suk Hang Cheng with:
Suk Hang Cheng Hong Kong
Rachel Erlich United States
Abel J. Bronkhorst Germany
C Lederrey Switzerland
Aaron R. Thorner United States
Danielle M. Hari United States
Go Yamamoto Japan
Zoya Kingsbury United Kingdom
Masahito Kawazu Japan
Hiroko Tanaka Japan
Hongdo Do relative to Suk Hang Cheng Hong Kong Suk Hang Cheng's profile →
Citations per field
00.5×1.6×
Suk Hang Cheng · 1×
Citations per year

Countries citing papers authored by Hongdo Do

Since Specialization
Citations

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

Fields of papers citing papers by Hongdo Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sequence Artifacts in DNA from Formalin-Fixed Tissues: Causes and Strategies for Minimization
Hit paper breakdown →
2014377
2 2014198
3 2017192
4 2008183
5 2014156
6 2017139
7 2012137
8 2012131
9 201382
10 201454
11 200947
12 201345
13 201342
14 201440
15 200838
16 201933
17 201333
18 202028
19 201328
20 201325

About Hongdo Do

Hongdo Do is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Oncology, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (10 papers), Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (5 papers), Molecular Biology Techniques and Applications (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Melanoma and MAPK Pathways (3 papers), RNA modifications and cancer (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Cancer Research (717 citations), Oncology (611 citations), Pulmonary and Respiratory Medicine (607 citations), Molecular Biology (1.1k citations) and Pathology and Forensic Medicine (252 citations). Hongdo Do has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Alexander Dobrovic, Stephen B. Fox, Paul Mitchell, Stephen Q. Wong, Jason Li, Thomas John, Christoph Bock, Thomas Mikeska, Paul Mitchell and Grant A. McArthur. Their work appears in journals such as Clinical Chemistry, Scientific Reports, Oncotarget, Journal of Thoracic Oncology and Lung Cancer.

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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