Mark Goebl

6.2k total citations · 1 hit paper
37 papers, 5.3k citations indexed

About

Mark Goebl is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Mark Goebl has authored 37 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Cell Biology and 7 papers in Genetics. Recurrent topics in Mark Goebl's work include Fungal and yeast genetics research (17 papers), Ubiquitin and proteasome pathways (6 papers) and Genomics and Chromatin Dynamics (5 papers). Mark Goebl is often cited by papers focused on Fungal and yeast genetics research (17 papers), Ubiquitin and proteasome pathways (6 papers) and Genomics and Chromatin Dynamics (5 papers). Mark Goebl collaborates with scholars based in United States, Japan and Canada. Mark Goebl's co-authors include Mitsuhiro Yanagida, Partha Sen, Kay Hofmann, J. Wade Harper, Lei Ma, Stephen J. Elledge, Chang Bai, Mark S. Boguski, Robert Sikorski and Tom H. Stevens and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mark Goebl

37 papers receiving 5.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SKP1 Connects Cell Cycle Regulators to the Ubiquitin Proteolysis Machinery through a Novel Motif, the F-Box

1996 1.2k citations Mark Goebl et al. Cell profile →

Peers

Countries citing papers authored by Mark Goebl

Since Specialization

Citations

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

Fields of papers citing papers by Mark Goebl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Goebl

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Nutrient Sensing Kinases PKA and Sch9 Phosphorylate the Catalytic Domain of the Ubiquitin-Conjugating Enzyme Cdc34 2011 ·PLoS ONE ·Ross Cocklin, Mark Goebl	14
2	New Insight Into the Role of the Cdc34 Ubiquitin-Conjugating Enzyme in Cell Cycle Regulation via Ace2 and Sic1 2011 ·Genetics ·Ross Cocklin, (unknown), (unknown), Mike Tyers, Mark Goebl	7
3	The loop-less tmCdc34 E2 mutant defective in polyubiquitination in vitro and in vivo supports yeast growth in a manner dependent on Ubp14 and Cka2 2011 ·Cell Division ·(unknown), Ross Cocklin, K. Matthew Scaglione, Michael L. Skowyra, Sergey Korolev, Mark Goebl, Dorota Skowyra	8
4	SCF E3-Mediated Autoubiquitination Negatively Regulates Activity of Cdc34 E2 but Plays a Nonessential Role in the Catalytic Cycle In Vitro and In Vivo 2007 ·Molecular and Cellular Biology ·K. Matthew Scaglione, Parmil K. Bansal, (unknown), Alexi Kiss, (unknown), Sergey Korolev, Ross Cocklin, Mark Goebl, Katsumi Kitagawa, Dorota Skowyra	18
5	The expression level of luciferase within tumour cells can alter tumour growth upon in vivo bioluminescence imaging 2007 ·Luminescence ·(unknown), Marc S. Mendonca, Keith M. Stantz, (unknown), Robert M. Bigsby, Gary D. Hutchins, Mark Goebl, Maureen A. Harrington	33
6	Selective inhibition of platelets by the GPIIb/IIIa receptor antagonist Tirofiban reduces leukocyte-endothelial cell interaction in murine antigen-induced arthritis 2007 ·Inflammation Research ·M. Schmitt‐Sody, Peter Metz, Oliver Gottschalk, S. Zysk, Christof Birkenmaier, Mark Goebl, Christoph von Schulze Pellengahr, A. Veihelmann, Volkmar Jansson	13
7	The ubiquitin ligase SCF^Grr1 is necessary for pheromone sensitivity in Saccharomyces cerevisiae 2005 ·Yeast ·Kelly S. Schweitzer, Ross Cocklin, Lisa Garrett, (unknown), Mark Goebl	11
8	The Abundance of Cell Cycle Regulatory Protein Cdc4p Is Controlled by Interactions between Its F Box and Skp1p 1999 ·Molecular and Cellular Biology ·Neal Mathias, (unknown), Breck Byers, Mark Goebl	46
9	Modification of yeast Cdc53p by the ubiquitin-related protein Rub1p affects function of the SCFCdc4 complex 1998 ·Genes & Development ·(unknown), Nicholas Mathias, José M. Laplaza, Wen Jiang, Liu Y, Judy Callis, Mark Goebl, Mark Estelle	270
10	Identification of a Positive Regulator of the Cell Cycle Ubiquitin-Conjugating Enzyme Cdc34 (Ubc3) 1996 ·Molecular and Cellular Biology ·John A. Prendergast, Christopher P. Ptak, Daniel Kornitzer, C.N. Steussy, (unknown), Mark Goebl, Michael J. Ellison	8
11	Yeast KRE2 defines a new gene family encoding probable secretory proteins, and is required for the correct N-glycosylation of proteins. 1992 ·Genetics ·Kathleen A. Hill, Charles Boone, Mark Goebl, Rosana Puccia, (unknown), Howard Bussey	86
12	Fission yeast sts1+ gene encodes a protein similar to the chicken lamin B receptor and is implicated in pleiotropic drug-sensitivity, divalent cation-sensitivity, and osmoregulation. 1992 ·Molecular Biology of the Cell ·Mizuki Shimanuki, Mark Goebl, Mitsuhiro Yanagida, Takashi Toda	27
13	The yeast SRM1 protein and human RCC1 protein share analogous functions. 1991 ·PubMed ·Karen Clark, Motoaki Ohtsubo, Tetsuya NISHIMOTO, Mark Goebl, G. F. Sprague	37
14	Mutations in the CDP-choline pathway for phospholipid biosynthesis bypass the requirement for an essential phospholipid transfer protein 1991 ·Cell ·Ann E. Cleves, Todd P. McGee, Eric Whitters, (unknown), (unknown), William Dowhan, Mark Goebl, Vytas A. Bankaitis	310
15	The TPR snap helix: a novel protein repeat motif from mitosis to transcription 1991 ·Trends in Biochemical Sciences ·Mark Goebl, Mitsuhiro Yanagida	402
16	The medium chains of the mammalian clathrin‐associated proteins have a homolog in yeast 1991 ·European Journal of Biochemistry ·Yasuhiro Nakayama, Mark Goebl, (unknown), Sandra K. Lemmon, E P Chow, (unknown)	51
17	DNA-binding properties of the product of the testis-determining gene and a related protein 1991 ·Nature ·Nargis Nasrin, Colleen Buggs, X F Kong, (unknown), Mark Goebl, Maria Alexander-Bridges	168
18	CDC55, a Saccharomyces cerevisiae Gene Involved in Cellular Morphogenesis: Identification, Characterization, and Homology to the B Subunit of Mammalian Type 2A Protein Phosphatase 1991 ·Molecular and Cellular Biology ·Annette M. Healy, Stanisław Zołnierowicz, Ann E. Stapleton, Mark Goebl, Anna Depaoli-Roach, John R. Pringle	239
19	A repeating amino acid motif in CDC23 defines a family of proteins and a new relationship among genes required for mitosis and RNA synthesis 1990 ·Cell ·Robert Sikorski, Mark S. Boguski, Mark Goebl, (unknown)	434
20	CDC33 Encodes mRNA Cap-Binding Protein eIF-4E of Saccharomyces cerevisiae 1988 ·Molecular and Cellular Biology ·Charles Brenner, Naoki Nakayama, Mark Goebl, Kazuma Tanaka, Akio Toh‐e, Kunihiro Matsumoto	41

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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