Mark J. Swanson

1.0k total citations
17 papers, 886 citations indexed

About

Mark J. Swanson is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Mark J. Swanson has authored 17 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Mark J. Swanson's work include Genomics and Chromatin Dynamics (10 papers), Fungal and yeast genetics research (8 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Mark J. Swanson is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), Fungal and yeast genetics research (8 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Mark J. Swanson collaborates with scholars based in United States, Cameroon and Pakistan. Mark J. Swanson's co-authors include Alan G. Hinnebusch, Hongfang Qiu, Laarni Sumibcay, Sungpil Yoon, Tetsuro Kokubo, Yoshihiro Nakatani, Krishnamurthy Natarajan, Fan Zhang, Soon‐Ja Kim and Cuihua Hu and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Biochemical Journal.

In The Last Decade

Mark J. Swanson

17 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Swanson United States 14 843 89 82 48 28 17 886
Brian C. Rymond United States 25 1.7k 2.0× 110 1.2× 61 0.7× 47 1.0× 19 0.7× 41 1.7k
Sung-Lim Yu South Korea 8 567 0.7× 63 0.7× 40 0.5× 57 1.2× 14 0.5× 14 624
Robin R. Staples United States 8 1.0k 1.2× 62 0.7× 43 0.5× 27 0.6× 13 0.5× 10 1.1k
P Laurenson United States 8 837 1.0× 174 2.0× 66 0.8× 67 1.4× 27 1.0× 9 879
Aneta Kaniak Poland 13 550 0.7× 54 0.6× 75 0.9× 26 0.5× 8 0.3× 20 594
Pierre Therizols France 9 831 1.0× 191 2.1× 43 0.5× 68 1.4× 49 1.8× 11 873
Vladimir Podolny United States 7 1.1k 1.3× 169 1.9× 41 0.5× 64 1.3× 16 0.6× 7 1.1k
Haitong Hou United States 13 471 0.6× 133 1.5× 167 2.0× 20 0.4× 30 1.1× 18 546
Jens Cavallius United States 10 388 0.5× 88 1.0× 46 0.6× 19 0.4× 20 0.7× 11 450
R. Anand United States 13 771 0.9× 143 1.6× 69 0.8× 108 2.3× 54 1.9× 16 826

Countries citing papers authored by Mark J. Swanson

Since Specialization
Citations

This map shows the geographic impact of Mark J. Swanson'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. Swanson 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. Swanson more than expected).

Fields of papers citing papers by Mark J. Swanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

17 of 17 papers shown
1.
Swanson, Mark J., et al.. (2023). The human RAP1 and GFAPɛ proteins increase γ-secretase activity in a yeast model system. G3 Genes Genomes Genetics. 13(8). 1 indexed citations
2.
Bae, Nancy, et al.. (2017). Identification of Genes inSaccharomyces cerevisiaethat Are Haploinsufficient for Overcoming Amino Acid Starvation. G3 Genes Genomes Genetics. 7(4). 1061–1084. 9 indexed citations
3.
Swanson, Mark J., et al.. (2016). Telomere protein RAP1 levels are affected by cellular aging and oxidative stress. Biomedical Reports. 5(2). 181–187. 16 indexed citations
4.
Lee, Su Jung, Mark J. Swanson, & Evelyn Sattlegger. (2014). Gcn1 contacts the small ribosomal protein Rps10, which is required for full activation of the protein kinase Gcn2. Biochemical Journal. 466(3). 547–559. 22 indexed citations
5.
Zhang, Fan, Naseem A. Gaur, Jiřı́ Hašek, et al.. (2008). Disrupting Vesicular Trafficking at the Endosome Attenuates Transcriptional Activation by Gcn4. Molecular and Cellular Biology. 28(22). 6796–6818. 20 indexed citations
6.
Kim, Soon‐Ja, Mark J. Swanson, Hongfang Qiu, Chhabi K. Govind, & Alan G. Hinnebusch. (2005). Activator Gcn4p and Cyc8p/Tup1p Are Interdependent for Promoter Occupancy at ARG1 In Vivo. Molecular and Cellular Biology. 25(24). 11171–11183. 24 indexed citations
7.
Qiu, Hongfang, et al.. (2005). Interdependent Recruitment of SAGA and Srb Mediator by Transcriptional Activator Gcn4p. Molecular and Cellular Biology. 25(9). 3461–3474. 61 indexed citations
8.
Sattlegger, Evelyn, Mark J. Swanson, Jennifer L. Jennings, et al.. (2004). YIH1 Is an Actin-binding Protein That Inhibits Protein Kinase GCN2 and Impairs General Amino Acid Control When Overexpressed. Journal of Biological Chemistry. 279(29). 29952–29962. 54 indexed citations
9.
Qiu, Hongfang, Cuihua Hu, Sungpil Yoon, et al.. (2004). An Array of Coactivators Is Required for Optimal Recruitment of TATA Binding Protein and RNA Polymerase II by Promoter-Bound Gcn4p. Molecular and Cellular Biology. 24(10). 4104–4117. 82 indexed citations
10.
Zhang, Fan, Laarni Sumibcay, Alan G. Hinnebusch, & Mark J. Swanson. (2004). A Triad of Subunits from the Gal11/Tail Domain of Srb Mediator Is an In Vivo Target of Transcriptional Activator Gcn4p. Molecular and Cellular Biology. 24(15). 6871–6886. 113 indexed citations
11.
Yoon, Sungpil, Hongfang Qiu, Mark J. Swanson, & Alan G. Hinnebusch. (2003). Recruitment of SWI/SNF by Gcn4p Does Not Require Snf2p or Gcn5p but Depends Strongly on SWI/SNF Integrity, SRB Mediator, and SAGA. Molecular and Cellular Biology. 23(23). 8829–8845. 51 indexed citations
12.
Swanson, Mark J., Hongfang Qiu, Laarni Sumibcay, et al.. (2003). A Multiplicity of Coactivators Is Required by Gcn4p at Individual Promoters In Vivo. Molecular and Cellular Biology. 23(8). 2800–2820. 127 indexed citations
13.
Kotani, Tomohiro, R. Louis Schiltz, Vasily Ogryzko, et al.. (1998). TBP-associated Factors in the PCAF Histone Acetylase Complex. Cold Spring Harbor Symposia on Quantitative Biology. 63(0). 493–500. 6 indexed citations
14.
Jackson, Belinda M., Richard McVeigh, Yu Bai, et al.. (1998). The Gcn4p Activation Domain Interacts Specifically In Vitro with RNA Polymerase II Holoenzyme, TFIID, and the Adap-Gcn5p Coactivator Complex. Molecular and Cellular Biology. 18(3). 1711–1724. 85 indexed citations
15.
Kokubo, Tetsuro, Mark J. Swanson, Jun‐ichi Nishikawa, Alan G. Hinnebusch, & Yoshihiro Nakatani. (1998). The Yeast TAF145 Inhibitory Domain and TFIIA Competitively Bind to TATA-Binding Protein. Molecular and Cellular Biology. 18(2). 1003–1012. 105 indexed citations
16.
Stone, Edwin M., Mark J. Swanson, Annette M. Romeo, James Hicks, & Rolf Sternglanz. (1991). The SIR1 gene of Saccharomyces cerevisiae and its role as an extragenic suppressor of several mating-defective mutants.. Molecular and Cellular Biology. 11(4). 2253–2262. 84 indexed citations
17.
Swanson, Mark J., et al.. (1991). The SIR1 Gene of Saccharomyces cerevisiae and Its Role as an Extragenic Suppressor of Several Mating-Defective Mutants. Molecular and Cellular Biology. 11(4). 2253–2262. 26 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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