John Jack

3.4k citations
62 papers · 1.9k · 1 hit paper · h-index 17

Impact in

Papers in

John Jack

59 papers receiving 1.8k citations

John Jack's Hit Papers

Altered bile acid profile associates with cognitive impairment in Alzheimer's disease—An emerging role for gut microbiome 2018 · 545 citations
5450+2+5Years since publication100200300400500

Peers

John Jack
Comparison fields: 5 of 150
  • Biological Psychiatry 186
  • Physiology 386
  • Computational Theory and Mathematics 244
  • Molecular Biology 914
  • Pharmacology 76
Replace Wolfgang Moritz with:
Wolfgang Moritz Switzerland
Xiao Z. Shen United States
Lihua Duan China
Jung Hoon Lee South Korea
Sijian Wang United States
Longfei Li China
Chun Xu United States
Bin Wu China
Jinhua Wang China
John Jack relative to Wolfgang Moritz Switzerland Wolfgang Moritz's profile →
Citations per field
00.5×2×4×6×7.4×
Wolfgang Moritz · 1×
Citations per year

Countries citing papers authored by John Jack

Since Specialization
Citations

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

Fields of papers citing papers by John Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Altered bile acid profile associates with cognitive impairment in Alzheimer's disease—An emerging role for gut microbiome
Hit paper breakdown →
2018545
2 2017374
3 2019243
4 201581
5 201480
6 201566
7 201842
8 201442
9
Solar absorptances and spectral reflectances of 12 metals for temperatures ranging from 300 to 500 K
196938
10 202134
11 201732
12 201126
13 196124
14 201423
15 201422
16 196121
17 198818
18 202012
19 195812
20
Thrust coefficients of low-thrust nozzles
196512

About John Jack

John Jack is a scholar working on Computational Mechanics, Aerospace Engineering, Genetics, Applied Mathematics and Molecular Biology, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (8 papers), Radiative Heat Transfer Studies (7 papers), Rocket and propulsion systems research (5 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Genetic Associations and Epidemiology (5 papers), Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Biological Psychiatry (186 citations), Physiology (386 citations), Computational Theory and Mathematics (244 citations), Molecular Biology (914 citations) and Pharmacology (76 citations). John Jack has collaborated with scholars based in United States, Spain and Romania. Frequent co-authors include Alison A. Motsinger‐Reif, Chad Brown, Ronglin Che, Imran Hussain Shah, John F. Wambaugh, Howard L. McLeod, Robert L. Bowman, Daniel Miller Rotroff, Tammy M. Havener and Keith A. Houck. Their work appears in journals such as BioData Mining, Alzheimer s & Dementia, Applied Optics, Environmental Health Perspectives and Pharmacogenomics.

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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