John Nip

25 papers receiving 1.5k citations

Peers

John Nip
Comparison fields: 5 of 63
  • Immunology and Allergy 201
  • Hematology 390
  • Oncology 303
  • Cancer Research 155
  • Molecular Biology 510
Replace Pascale Jackers with:
Pascale Jackers Belgium
Riyan Chen Canada
Hiroyuki Sugahara Japan
Andreas Enns Germany
A. Gutman France
Tong Yin China
D C Bicknell United Kingdom
Sheila N. Jani Sait United States
Vinay Bhaskar United States
Misao Ohki Japan
John Nip relative to Pascale Jackers Belgium Pascale Jackers's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Nip

Since Specialization
Citations

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

Fields of papers citing papers by John Nip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001291
2 2002218
3 1992152
4 2001143
5 200099
6 200092
7 199786
8 199573
9
Paracrine growth stimulation by hepatocyte-derived insulin-like growth factor-1: a regulatory mechanism for carcinoma cells metastatic to the liver.
199460
10 199658
11 199547
12
E2F-1 and E2F-3 are functionally distinct in their ability to promote myeloid cell cycle progression and block granulocyte differentiation.
199842
13 200138
14 200135
15 199020
16 200013
17 20216
18 20005
19 20094
20 20144

About John Nip

John Nip is a scholar working on Immunology and Allergy, Pharmaceutical Science, Oncology, Dermatology and Cancer Research, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Cancer-related Molecular Pathways (6 papers), Protease and Inhibitor Mechanisms (4 papers), Advancements in Transdermal Drug Delivery (4 papers), Dermatology and Skin Diseases (3 papers), melanin and skin pigmentation (3 papers), Acute Myeloid Leukemia Research (2 papers) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Immunology and Allergy (201 citations), Hematology (390 citations), Oncology (303 citations), Cancer Research (155 citations) and Molecular Biology (510 citations). John Nip has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Scott W. Hiebert, Pnina Brodt, David Kelly Strom, John L. Cleveland, Henry R. Shibata, Noel T. Lenny, Bart A. Lutterbach, James R. Downing, Gerard P. Zambetti and Joseph M. Amann. Their work appears in journals such as International Journal of Cosmetic Science, Molecular and Cellular Biology, International Journal of Cancer, Journal of Clinical Investigation and Journal of the American Academy of Dermatology.

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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