John D. Hooper
- Genetics top 1%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 22
- Hematology top 1%
- Blood Coagulation and Thrombosis Mechanisms 24
- Cancer Research top 1%
- Protease and Inhibitor Mechanisms 15
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research 11
- Oncology top 2%
- Peptidase Inhibition and Analysis 19
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- Prostate Cancer Treatment and Research 13
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- Ubiquitin and proteasome pathways 11
- Glycosylation and Glycoproteins Research 10
- Co-authors
- James P. QuigleyJudith A. ClementsToni AntalisYaowu HeMark N. AdamsTracey J. HarveyYing DongAndries Zijlstra
- Cited by
- GeneticsHematologyCancer Research
- Journals
- Biological Chemistry (7 papers)Journal of Biological Chemistry (7 papers)Oncogene (5 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
John D. Hooper
116 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 123
- Genetics 817
- Hematology 820
- Cancer Research 1.1k
- Immunology and Allergy 371
- Oncology 1.1k
Countries citing papers authored by John D. Hooper
This map shows the geographic impact of John D. Hooper'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 D. Hooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Hooper more than expected).
Fields of papers citing papers by John D. Hooper
This network shows the impact of papers produced by John D. Hooper. 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 D. Hooper. The network helps show where John D. Hooper may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John D. Hooper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 19 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 16 | |
| 19 | 2021 | 41 | |
| 20 | In vitro evidence that KLK14 regulates the components of the HGF/Met axis, pro-HGF and HGF-activator inhibitor 1A and 1B | 2016 | 1 |
About John D. Hooper
John D. Hooper is a scholar working on Hematology, Genetics, Cancer Research, Immunology and Allergy and Oncology, having authored 120 papers that have together received 4.1k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (24 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (22 papers), Peptidase Inhibition and Analysis (19 papers), Protease and Inhibitor Mechanisms (15 papers), Prostate Cancer Treatment and Research (13 papers), Ubiquitin and proteasome pathways (11 papers), Cell Adhesion Molecules Research (11 papers) and Glycosylation and Glycoproteins Research (10 papers). The work is most often cited by research in Genetics (817 citations), Hematology (820 citations), Cancer Research (1.1k citations), Immunology and Allergy (371 citations) and Oncology (1.1k citations). John D. Hooper has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include James P. Quigley, Judith A. Clements, Toni Antalis, Yaowu He, Mark N. Adams, Tracey J. Harvey, Ying Dong, Andries Zijlstra, Ronald T. Aimes and David P. Fairlie. Their work appears in journals such as Biological Chemistry, Journal of Biological Chemistry, Oncogene, IUBMB Life and European Journal of Biochemistry.
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.