David John

86 papers receiving 4.3k citations

Hit Papers

Long Noncoding RNA MALAT1 Regulates Endothelial Cell Function and Vessel Growth 2014 · 762 citations
7622014202620182022250500750

Peers

David John
Comparison fields: 5 of 123
  • Cancer Research 1.9k
  • Pathology and Forensic Medicine 730
  • Molecular Biology 2.3k
  • Oncology 844
  • Hematology 229
Replace Maria Zieleńska with:
Maria Zieleńska Canada
Toshiyuki Nakayama Japan
Takesada Mori Japan
Kenichi Ohashi Japan
Siok‐Bian Ng Singapore
Hyojin Kim South Korea
Niki J. Agnantis Greece
Phyu P. Aung United States
Hiroaki Kanda Japan
Yusuke Mizukami Japan
David John relative to Maria Zieleńska Canada Maria Zieleńska's profile →
Citations per field
00.5×5.5×
Maria Zieleńska · 1×
Citations per year

Countries citing papers authored by David John

Since Specialization
Citations

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

Fields of papers citing papers by David John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long Noncoding RNA MALAT1 Regulates Endothelial Cell Function and Vessel Growth
Hit paper breakdown →
2014762
2 2015296
3 2016280
4 2020206
5 2005160
6 2020158
7 2018152
8 2007136
9 1993119
10 2006117
11 2019113
12 2020112
13 2020102
14 199896
15 197378
16 197376
17 200275
18 201866
19 200160
20 201660

About David John

David John is a scholar working on Cancer Research, Gastroenterology, Hematology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 94 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), Genetic factors in colorectal cancer (12 papers), RNA modifications and cancer (12 papers), RNA Research and Splicing (11 papers), Colorectal Cancer Screening and Detection (11 papers), Single-cell and spatial transcriptomics (9 papers), Cardiac Fibrosis and Remodeling (8 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Cancer Research (1.9k citations), Pathology and Forensic Medicine (730 citations), Molecular Biology (2.3k citations), Oncology (844 citations) and Hematology (229 citations). David John has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Stefanie Dimmeler, Shizuka Uchida, Andreas M. Zeiher, Reinier A. Boon, Tyler Weirick, Wesley Abplanalp, Neville D. Yeomans, Graeme P. Young, Yuliya Ponomareva and Katharina Michalik. Their work appears in journals such as The Medical Journal of Australia, Circulation Research, Briefings in Bioinformatics, Cardiovascular Research and European Heart Journal.

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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