Jeff Green

6.5k citations
27 papers · 4.3k · 1 hit paper · h-index 10

Impact in

Papers in

Jeff Green

23 papers receiving 4.3k citations

Jeff Green's Hit Papers

Causal analysis approaches in Ingenuity Pathway Analysis 2013 · 4.0k citations
4.0k0+4+8Years since publication10002.0k3.0k4.0k

Peers

Jeff Green
Comparison fields: 5 of 155
  • Cancer Research 514
  • Immunology 549
  • Molecular Biology 1.8k
  • Biological Psychiatry 59
  • Neurology 173
Replace Jack Pollard with:
Jack Pollard United States
Min Zhang China
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Pengfei Li China
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Jeff Green relative to Jack Pollard United States Jack Pollard's profile →
Citations per field
00.5×1.5×
Jack Pollard · 1×
Citations per year

Countries citing papers authored by Jeff Green

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Causal analysis approaches in Ingenuity Pathway Analysis
Hit paper breakdown →
20134022
2 200054
3 200349
4 200036
5 201024
6 201317
7
The consistent delivery of negative pressure to wounds using reticulated, open cell foam and regulated pressure feedback.
201011
8 20199
9 20219
10 20129
11 20198
12
Reconstructing hash reversal based proof of work schemes
20118
13
Forced Response Prediction within the Design Process
19998
14
Traceability Through Automatic Program Generation
20037
15 20156
16 20106
17 20225
18 19995
19 20175
20
Controlling Forced Response of a High Pressure Turbine Blade
20064

About Jeff Green

Jeff Green is a scholar working on Molecular Biology, Mechanical Engineering, Surgery, Civil and Structural Engineering and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 4.3k indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (4 papers), Bioinformatics and Genomic Networks (4 papers), Bladed Disk Vibration Dynamics (3 papers), Hydraulic and Pneumatic Systems (2 papers), Bacterial Genetics and Biotechnology (2 papers), Turbomachinery Performance and Optimization (2 papers), Occupational Health and Performance (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Cancer Research (514 citations), Immunology (549 citations), Molecular Biology (1.8k citations), Biological Psychiatry (59 citations) and Neurology (173 citations). Jeff Green has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Stuart Tugendreich, A. Krämer, Jack Pollard, Helen J. Wing, Susan Hill, Stephen Busby, R. Gary Sawers, Guanghui Wu, Robert K. Poole and John R. Guest. Their work appears in journals such as Bioinformatics, Journal of Biological Chemistry, Human Molecular Genetics, Remote Sensing of Environment and Transplantation.

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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