Mark J. Nuell

739 total citations
9 papers, 636 citations indexed

About

Mark J. Nuell is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Mark J. Nuell has authored 9 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Mark J. Nuell's work include Cancer-related Molecular Pathways (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Renal and related cancers (2 papers). Mark J. Nuell is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Renal and related cancers (2 papers). Mark J. Nuell collaborates with scholars based in United States. Mark J. Nuell's co-authors include James R. Smith, Edward L. Schneider, Charles K. Lumpkin, David A. Stewart, J. Keith McClung, David B. Danner, Varda Friedman, Garrison A. Owens, Robert T. Dell’Orco and Chris M. Wood and has published in prestigious journals such as Nucleic Acids Research, Molecular and Cellular Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Mark J. Nuell

9 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark J. Nuell United States	9	498	76	71	56	50	9	636
Stephen P. Tomasovic United States	14	423 0.8×	64 0.8×	104 1.5×	115 2.1×	21 0.4×	34	659
Isaac Bekhor United States	15	646 1.3×	157 2.1×	48 0.7×	48 0.9×	43 0.9×	54	809
Kent L. Redman United States	12	584 1.2×	73 1.0×	110 1.5×	92 1.6×	54 1.1×	18	722
Gerald L. Chan United States	12	370 0.7×	58 0.8×	63 0.9×	90 1.6×	45 0.9×	23	553
O.I. Kovalsky United States	10	493 1.0×	30 0.4×	119 1.7×	56 1.0×	29 0.6×	17	586
Tetsuo Miyake Japan	10	526 1.1×	38 0.5×	81 1.1×	35 0.6×	33 0.7×	26	701
Udo Mallick Germany	10	433 0.9×	50 0.7×	81 1.1×	132 2.4×	55 1.1×	11	637
Noel M. Wigglesworth United Kingdom	13	478 1.0×	117 1.5×	59 0.8×	40 0.7×	29 0.6×	16	665
Michael K. Urban United States	8	590 1.2×	122 1.6×	95 1.3×	28 0.5×	42 0.8×	8	732
A.G. Perez United States	11	442 0.9×	58 0.8×	126 1.8×	79 1.4×	44 0.9×	12	698

Countries citing papers authored by Mark J. Nuell

Since Specialization

Citations

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

Fields of papers citing papers by Mark J. Nuell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Nuell

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Nuell. A scholar is included among the top collaborators of Mark J. Nuell 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 Mark J. Nuell. Mark J. Nuell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

McClung, J. Keith, Robert L. King, David B. Danner, et al.. (1992). Expression of prohibitin, an antiproliferative protein. Experimental Gerontology. 27(4). 413–417. 28 indexed citations

White, John J., Roger L. Eddy, T.B. Shows, et al.. (1991). Assignment of the human prohibition gene (PHB) to chromosome 17 and identification of a DNA polymorphism. Genomics. 11(1). 228–230. 36 indexed citations

Nuell, Mark J., David A. Stewart, Lisa Walker, et al.. (1991). Prohibitin, an Evolutionarily Conserved Intracellular Protein That Blocks DNA Synthesis in Normal Fibroblasts and HeLa Cells. Molecular and Cellular Biology. 11(3). 1372–1381. 56 indexed citations

Nuell, Mark J., David A. Stewart, Lucy S. K. Walker, et al.. (1991). Prohibitin, an evolutionarily conserved intracellular protein that blocks DNA synthesis in normal fibroblasts and HeLa cells.. Molecular and Cellular Biology. 11(3). 1372–1381. 214 indexed citations

McClung, J. Keith, David B. Danner, David A. Stewart, et al.. (1989). Isolation of a cDNA that hybrid selects antiproliferative mRNA from rat liver. Biochemical and Biophysical Research Communications. 164(3). 1316–1322. 145 indexed citations

Nuell, Mark J., J. Keith McClung, James R. Smith, & David B. Danner. (1989). Approach to the isolation of antiproliferative genes. Experimental Gerontology. 24(5-6). 469–476. 14 indexed citations

Nuell, Mark J., et al.. (1988). Isolation and nucleotide sequence of the chloroperoxidase gene from Caldariomyces fumago. Journal of Bacteriology. 170(2). 1007–1011. 22 indexed citations

Axley, Milton J., et al.. (1986). Cloning and sequencing of chloroperoxidase cDNA. Nucleic Acids Research. 14(20). 8061–8071. 33 indexed citations

Olsen, G J, Norman R. Pace, Mark J. Nuell, et al.. (1985). Sequence of the 16S rRNA gene from the thermoacidophilic archaebacteriumSulfolobus solfataricus and its evolutionary implications. Journal of Molecular Evolution. 22(4). 301–307. 88 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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