John D. Hooper

5.9k citations
120 papers · 4.1k · 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 19

John D. Hooper

116 papers receiving 4.1k citations

Peers

John D. Hooper
Comparison fields: 5 of 123
  • Genetics 817
  • Hematology 820
  • Cancer Research 1.1k
  • Immunology and Allergy 371
  • Oncology 1.1k
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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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001293
2 2011286
3 2003246
4
A quantitative analysis of rate-limiting steps in the metastatic cascade using human-specific real-time polymerase chain reaction.
2002174
5 2003127
6 2000121
7 2008113
8 2001110
9 2003104
10 200095
11 200991
12 201789
13 202080
14 200973
15 200168
16 200366
17 201663
18 201763
19 201762
20 201559

About John D. Hooper

John D. Hooper is a scholar working on Molecular Biology, Oncology, Hematology, Cancer Research and Genetics, 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), Cell Adhesion Molecules Research (11 papers), Ubiquitin and proteasome pathways (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.

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