John J. Powers

3.5k citations
125 papers · 2.0k · h-index 23

Impact in

  • Oncology top 5%
    • Peptidase Inhibition and Analysis
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Histone Deacetylase Inhibitors Research 27
    • Protein Degradation and Inhibitors 11
    • Chronic Lymphocytic Leukemia Research 22

John J. Powers

120 papers receiving 1.9k citations

Peers

John J. Powers
Comparison fields: 5 of 118
  • Oncology 465
  • Genetics 169
  • Food Science 312
  • Immunology 337
  • Animal Science and Zoology 158
Replace Karen De Smet with:
Karen De Smet Belgium
Eric Degryse France
Shuang‐En Chuang Taiwan
Arun Bhardwaj United States
Min-Nung Huang United States
Luca Vannucci Czechia
Jiao Zhang China
Olivier Peulen Belgium
Xiao‐Ming Gao China
John J. Powers relative to Karen De Smet Belgium Karen De Smet's profile →
Citations per field
00.5×3.0×
Karen De Smet · 1×
Citations per year

Countries citing papers authored by John J. Powers

Since Specialization
Citations

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

Fields of papers citing papers by John J. Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012229
2 2016142
3 2019138
4 201496
5 198981
6 196862
7 201260
8 201555
9 201754
10 201749
11 196849
12 202046
13 200944
14 197840
15 201840
16 197630
17 196129
18 196129
19 201129
20 202026

About John J. Powers

John J. Powers is a scholar working on Molecular Biology, Genetics, Immunology, Food Science and Oncology, having authored 125 papers that have together received 2.0k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (27 papers), Chronic Lymphocytic Leukemia Research (22 papers), Advanced Chemical Sensor Technologies (12 papers), Protein Degradation and Inhibitors (11 papers), Sensory Analysis and Statistical Methods (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Immunotherapy and Immune Responses (8 papers) and Meat and Animal Product Quality (8 papers). The work is most often cited by research in Oncology (465 citations), Genetics (169 citations), Food Science (312 citations), Immunology (337 citations) and Animal Science and Zoology (158 citations). John J. Powers has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Elizabeth S. Keith, Javier Pinilla‐Ibarz, Eva Sahakian, Eduardo M. Sotomayor, Alejandro Villagra, Bo‐Hwa Choi, Brent Williams, Chang W. Song, Hyemi Lee and Heon Joo Park. Their work appears in journals such as Journal of Food Science, Blood, Blood Advances, Journal of Sensory Studies and Leukemia Research.

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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