Jeffrey P. Novack

564 total citations
10 papers, 423 citations indexed

About

Jeffrey P. Novack is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Jeffrey P. Novack has authored 10 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Jeffrey P. Novack's work include Phosphodiesterase function and regulation (4 papers), Chemical Synthesis and Analysis (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). Jeffrey P. Novack is often cited by papers focused on Phosphodiesterase function and regulation (4 papers), Chemical Synthesis and Analysis (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). Jeffrey P. Novack collaborates with scholars based in United States, France and Japan. Jeffrey P. Novack's co-authors include Cynthia A. Wenner, Harry Charbonneau, Shu‐ichi Matsuzawa, John C. Reed, Carolyn J. Torkelson, Leanna J. Standish, Erin Sweet, Ana Nelson, Carly A. Bridge and Mark R. Martzen and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Scientific Reports.

In The Last Decade

Jeffrey P. Novack

9 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeffrey P. Novack United States	8	249	86	75	73	37	10	423
Lin-hua Qin China	4	199 0.8×	73 0.8×	37 0.5×	79 1.1×	44 1.2×	7	338
Pan Jiang China	13	133 0.5×	56 0.7×	26 0.3×	62 0.8×	16 0.4×	25	362
Fernanda Antunes Brazil	12	228 0.9×	27 0.3×	71 0.9×	53 0.7×	22 0.6×	43	528
Buyun Kim South Korea	11	228 0.9×	49 0.6×	75 1.0×	51 0.7×	21 0.6×	25	402
Sabrina Adorisio Italy	11	125 0.5×	46 0.5×	40 0.5×	72 1.0×	17 0.5×	27	322
Jiae Kim South Korea	11	134 0.5×	32 0.4×	25 0.3×	37 0.5×	19 0.5×	22	324
Ki Hong Nam South Korea	14	272 1.1×	40 0.5×	24 0.3×	20 0.3×	18 0.5×	31	482
J Nandi United States	14	212 0.9×	28 0.3×	57 0.8×	24 0.3×	11 0.3×	39	418
Yueguo Wu China	9	164 0.7×	35 0.4×	34 0.5×	41 0.6×	14 0.4×	20	298
Sung Kee Jo South Korea	14	237 1.0×	29 0.3×	30 0.4×	29 0.4×	19 0.5×	24	477

Countries citing papers authored by Jeffrey P. Novack

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey P. Novack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey P. Novack. 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 Jeffrey P. Novack. The network helps show where Jeffrey P. Novack may publish in the future.

Co-authorship network of co-authors of Jeffrey P. Novack

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey P. Novack. A scholar is included among the top collaborators of Jeffrey P. Novack based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey P. Novack. Jeffrey P. Novack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Horne, Benjamin D., et al.. (2025). Intermittent fasting and a no-sugar diet for Long COVID symptoms: a randomized crossover trial. Scientific Reports. 15(1). 27563–27563.

Novack, Jeffrey P., et al.. (2022). K63 ubiquitination in immune signaling. Trends in Immunology. 43(2). 148–162. 74 indexed citations

Novack, Jeffrey P.. (2020). Designing Cases for Case-Based Immunology Teaching in Large Medical School Classes. Frontiers in Immunology. 11. 995–995. 17 indexed citations

Wenner, Cynthia A., et al.. (2010). Role for toll-like receptor 4 in TNF-alpha secretion by murine macrophages in response to polysaccharide Krestin, a Trametes versicolor mushroom extract. Fitoterapia. 81(7). 914–919. 32 indexed citations

Standish, Leanna J., Erin Sweet, Jeffrey P. Novack, et al.. (2008). Breast cancer and the immune system.. PubMed. 6(4). 158–68. 75 indexed citations

Standish, Leanna J., Cynthia A. Wenner, Erin Sweet, et al.. (2008). Trametes versicolor mushroom immune therapy in breast cancer.. PubMed. 6(3). 122–8. 59 indexed citations

Bentley, J. Kelley, Dalia Seger, W. K. Sonnenburg, et al.. (1992). Molecular cloning of cDNA encoding a “63”-kDa calmodulin-stimulated phosphodiesterase from bovine brain.. Journal of Biological Chemistry. 267(26). 18676–18682. 60 indexed citations

Charbonneau, Harry, Santosh Kumar, Jeffrey P. Novack, et al.. (1991). Evidence for domain organization within the 61-kDa calmodulin-dependent cyclic nucleotide phosphodiesterase from bovine brain. Biochemistry. 30(32). 7931–7940. 68 indexed citations

Novack, Jeffrey P., Harry Charbonneau, J. Kelley Bentley, Kenneth A. Walsh, & Joseph A. Beavo. (1991). Sequence comparison of the 63-, 61-, and 59-kDa calmodulin-dependent cyclic nucleotide phosphodiesterases. Biochemistry. 30(32). 7940–7947. 35 indexed citations

10.

Novack, Jeffrey P., Harry Charbonneau, Donald Blumenthal, Kenneth A. Walsh, & Joseph A. Beavo. (1989). The Domain Structure of the Calmodulin-Dependent Phosphodiesterase Isozymes. Advances in experimental medicine and biology. 255. 387–395. 3 indexed citations

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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