Jack M. Sullivan

1.8k citations
74 papers · 1.4k · h-index 17

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 12
    • RNA and protein synthesis mechanisms 9
    • Retinal Development and Disorders 9
    • RNA Interference and Gene Delivery 8
    • CRISPR and Genetic Engineering 7
    • Receptor Mechanisms and Signaling 5
    • Renin-Angiotensin System Studies 3

Jack M. Sullivan

72 papers receiving 1.3k citations

Peers

Jack M. Sullivan
Comparison fields: 5 of 114
  • Nutrition and Dietetics 347
  • Cardiology and Cardiovascular Medicine 392
  • Nephrology 104
  • Endocrinology, Diabetes and Metabolism 207
  • Filtration and Separation 16
Replace Juha Laakso with:
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Citations per field
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Citations per year

Countries citing papers authored by Jack M. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Jack M. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991183
2 1987146
3 198393
4 198087
5 198781
6 199066
7 198863
8 197958
9 197652
10 198342
11 201437
12
Hammerhead ribozymes designed to cleave all human rod opsin mRNAs which cause autosomal dominant retinitis pigmentosa.
200232
13 200230
14
Hemodynamic effects of aerobic vs resistance exercise.
199623
15 199922
16 196820
17 199617
18 196716
19 200915
20 201015

About Jack M. Sullivan

Jack M. Sullivan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), RNA and protein synthesis mechanisms (9 papers), Retinal Development and Disorders (9 papers), Photoreceptor and optogenetics research (9 papers), RNA Interference and Gene Delivery (8 papers), CRISPR and Genetic Engineering (7 papers), Receptor Mechanisms and Signaling (5 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Nutrition and Dietetics (347 citations), Cardiology and Cardiovascular Medicine (392 citations), Nephrology (104 citations), Endocrinology, Diabetes and Metabolism (207 citations) and Filtration and Separation (16 citations). Jack M. Sullivan has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Thomas E. Ratts, Larry S. Liebovitch, Joseph A. Josephs, Russell L. Prewitt, Mark C. Butler, Dietmar Kraus, Norman K. Hollenberg, Lioubov I. Brueggemann, Michael Connor and Douglass F. Adams. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Hypertension, Experimental Eye Research, Journal of Chemical & Engineering Data and Clinical Cardiology.

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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