John S. Bomalaski

129 papers receiving 4.7k citations

Peers

John S. Bomalaski
Comparison fields: 5 of 127
  • Biotechnology 1.8k
  • Cancer Research 1.3k
  • Biochemistry 434
  • Genetics 1.1k
  • Nephrology 267
Replace Kazuyoshi Yanagihara with:
Kazuyoshi Yanagihara Japan
Sundaram Ramakrishnan United States
Pascale Briand France
Xiaoli Zhang United States
Paola Rizzo Italy
Shingo Tsuji Japan
Yasuhiko Nishioka Japan
Hans Prydz Norway
Nariyoshi Shinomiya Japan
H.R. Lijnen Belgium
John S. Bomalaski relative to Kazuyoshi Yanagihara Japan Kazuyoshi Yanagihara's profile →
Citations per field
00.5×9.4×
Kazuyoshi Yanagihara · 1×
Citations per year

Countries citing papers authored by John S. Bomalaski

Since Specialization
Citations

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

Fields of papers citing papers by John S. Bomalaski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pegylated arginine deiminase (ADI-SS PEG20,000 mw) inhibits human melanomas and hepatocellular carcinomas in vitro and in vivo.
2002263
2 2004242
3 2004199
4 2005188
5 1988184
6 2013135
7 1986127
8 2012121
9 2002116
10 2017114
11 1991109
12 1984107
13 2015103
14 201198
15 201298
16 199193
17 201789
18 201288
19 198687
20
Uricase formulated with polyethylene glycol (uricase-PEG 20): biochemical rationale and preclinical studies.
200281

About John S. Bomalaski

John S. Bomalaski is a scholar working on Biotechnology, Genetics, Molecular Biology, Neurology and Oncology, having authored 132 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer Research and Treatments (72 papers), Virus-based gene therapy research (35 papers), Neuroblastoma Research and Treatments (22 papers), Cancer, Hypoxia, and Metabolism (19 papers), Nanoplatforms for cancer theranostics (9 papers), Biochemical and Molecular Research (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Inflammatory mediators and NSAID effects (7 papers). The work is most often cited by research in Biotechnology (1.8k citations), Cancer Research (1.3k citations), Biochemistry (434 citations), Genetics (1.1k citations) and Nephrology (267 citations). John S. Bomalaski has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Mike A. Clark, Frederick W. Holtsberg, Mark Ensor, M A Clark, Stanley T. Crooke, Steven A. Curley, Robert B. Zurier, Marion R. Steiner, Peter W. Szlosarek and Achim A. Jungbluth. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology, Blood, Clinical Cancer Research and Journal of Leukocyte Biology.

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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