Man Chun John

1.8k citations
19 papers · 285 · h-index 10

Impact in

Papers in

    • Protein Degradation and Inhibitors 3
    • Peroxisome Proliferator-Activated Receptors 2
    • Cancer Immunotherapy and Biomarkers 3

Man Chun John

17 papers receiving 284 citations

Peers

Man Chun John
Comparison fields: 5 of 55
  • Pathology and Forensic Medicine 116
  • Genetics 58
  • Oncology 146
  • Immunology 69
  • Hematology 31
Replace Maciej Szydłowski with:
Maciej Szydłowski Poland
Gloria E. Marino Italy
Chi Wai Wong Hong Kong
Sandra Gallagher United States
Kristin E. Hunt United States
M Siena Italy
Wencai Ma United States
Eun Suk Hwang South Korea
Inga Müller Germany
Albert K. Ho United States
Man Chun John relative to Maciej Szydłowski Poland Maciej Szydłowski's profile →
Citations per field
00.5×1.6×
Maciej Szydłowski · 1×
Citations per year

Countries citing papers authored by Man Chun John

Since Specialization
Citations

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

Fields of papers citing papers by Man Chun John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201766
2 201844
3 201733
4 202229
5 202125
6 201517
7 201714
8 201710
9 20179
10 20179
11 20218
12 20147
13 20165
14 20173
15
Effect of jiawei shenqi dihuang tang on the content of urinary protein in patients with diabetic nephropathy.
19973
16 20172
17 20181
18 20250
19 20170

About Man Chun John

Man Chun John is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 19 papers that have together received 285 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic Associations and Epidemiology (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (116 citations), Genetics (58 citations), Oncology (146 citations), Immunology (69 citations) and Hematology (31 citations). Man Chun John has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include R. Eric Davis, Jason R. Westin, Wencai Ma, Zhiqiang Wang, Loretta J. Nastoupil, Xiaoyun Cheng, Anne E. Kwitek, Nathan Fowler, Lei Feng and Felipe Samaniego. Their work appears in journals such as Blood, BMC Genomics, Cytometry Part A, The Thoracic and Cardiovascular Surgeon and Circulation Cardiovascular Genetics.

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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