John D. Hooper

6.0k citations
124 papers · 4.3k · h-index 35

Impact in

  • Genetics top 1%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
  • Hematology top 1%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Ubiquitin and proteasome pathways 11
    • Glycosylation and Glycoproteins Research 10
    • Peptidase Inhibition and Analysis 20

John D. Hooper

119 papers receiving 4.3k citations

Peers

John D. Hooper
Comparison fields: 5 of 120
  • Genetics 817
  • Hematology 841
  • Cancer Research 974
  • Immunology and Allergy 332
  • Oncology 992
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Citations per year

Countries citing papers authored by John D. Hooper

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with John D. Hooper Line = papers co-authored together John D. Hooper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001311
2 2011294
3 2003256
4
A quantitative analysis of rate-limiting steps in the metastatic cascade using human-specific real-time polymerase chain reaction.
2002181
5 2003136
6 2000127
7 2001119
8 2008115
9 2003106
10 2009104
11 200098
12 201795
13 202085
14 200978
15 200374
16 200169
17 201768
18 201667
19 201764
20 201563

About John D. Hooper

John D. Hooper is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Cancer Research, having authored 124 papers that have together received 4.3k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (25 papers), Blood Coagulation and Thrombosis Mechanisms (25 papers), Peptidase Inhibition and Analysis (20 papers), Protease and Inhibitor Mechanisms (15 papers), Ubiquitin and proteasome pathways (11 papers), Prostate Cancer Treatment and Research (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 (841 citations), Cancer Research (974 citations), Immunology and Allergy (332 citations) and Oncology (992 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 Mei‐Kwan Yau. Their work appears in journals such as Journal of Biological Chemistry, 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.

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