Michael Sulak

1.0k total citations
10 papers, 653 citations indexed

About

Michael Sulak is a scholar working on Molecular Biology, Sensory Systems and Physiology. According to data from OpenAlex, Michael Sulak has authored 10 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Sensory Systems and 3 papers in Physiology. Recurrent topics in Michael Sulak's work include Ion Channels and Receptors (3 papers), Multiple Sclerosis Research Studies (2 papers) and Postharvest Quality and Shelf Life Management (1 paper). Michael Sulak is often cited by papers focused on Ion Channels and Receptors (3 papers), Multiple Sclerosis Research Studies (2 papers) and Postharvest Quality and Shelf Life Management (1 paper). Michael Sulak collaborates with scholars based in United States, Canada and Germany. Michael Sulak's co-authors include Vincent J. Lynch, Sravanthi Chigurupati, Lisa Yon, Nigel P. Mongan, Katelyn Mika, Richard D. Emes, Juan Manuel Vázquez, Roger B. Gregory, Robert J. Clements and Jennifer McDonough and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Anesthesiology.

In The Last Decade

Michael Sulak

10 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Sulak United States	9	309	147	127	105	98	10	653
Koen Herten Belgium	5	452 1.5×	102 0.7×	129 1.0×	81 0.8×	112 1.1×	7	798
Christopher Buccitelli Germany	6	631 2.0×	79 0.5×	141 1.1×	107 1.0×	190 1.9×	6	973
Stefano Castellana Italy	16	616 2.0×	63 0.4×	259 2.0×	87 0.8×	109 1.1×	73	952
Maria Laura Idda Italy	15	507 1.6×	127 0.9×	97 0.8×	39 0.4×	265 2.7×	31	1.0k
Zhonghe Ke United States	13	751 2.4×	186 1.3×	93 0.7×	89 0.8×	117 1.2×	25	1.2k
Marcello Ziosi United States	16	546 1.8×	97 0.7×	114 0.9×	46 0.4×	63 0.6×	19	930
Ryan R. White United States	13	649 2.1×	53 0.4×	113 0.9×	76 0.7×	149 1.5×	15	865
Naoki Osato Japan	14	737 2.4×	210 1.4×	133 1.0×	65 0.6×	198 2.0×	20	1.1k
Sravanthi Chigurupati United States	9	397 1.3×	64 0.4×	96 0.8×	103 1.0×	108 1.1×	9	634
Thomas E. Mullen United States	16	732 2.4×	84 0.6×	143 1.1×	54 0.5×	116 1.2×	24	1.2k

Countries citing papers authored by Michael Sulak

Since Specialization

Citations

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

Fields of papers citing papers by Michael Sulak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sulak

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sulak. A scholar is included among the top collaborators of Michael Sulak 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 Michael Sulak. Michael Sulak 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

Sulak, Michael, et al.. (2018). Modulation of TRPA1 channel activity by Cdk5 in sensory neurons. Channels. 12(1). 65–75. 14 indexed citations

Vázquez, Juan Manuel, Michael Sulak, Sravanthi Chigurupati, & Vincent J. Lynch. (2018). A Zombie LIF Gene in Elephants Is Upregulated by TP53 to Induce Apoptosis in Response to DNA Damage. Cell Reports. 24(7). 1765–1776. 65 indexed citations

Dulberger, Charles L., Curtis McMurtrey, Angelique Hölzemer, et al.. (2017). Human Leukocyte Antigen F Presents Peptides and Regulates Immunity through Interactions with NK Cell Receptors. Immunity. 46(6). 1018–1029.e7. 90 indexed citations

Sulak, Michael, Katelyn Mika, Sravanthi Chigurupati, et al.. (2016). TP53 copy number expansion is associated with the evolution of increased body size and an enhanced DNA damage response in elephants. eLife. 5. 212 indexed citations

Lynch, Vincent J., Oscar C. Bedoya-Reina, Aakrosh Ratan, et al.. (2015). Elephantid Genomes Reveal the Molecular Bases of Woolly Mammoth Adaptations to the Arctic. Cell Reports. 12(2). 217–228. 77 indexed citations

Li, Shuo, Robert J. Clements, Michael Sulak, et al.. (2013). Decreased NAA in Gray Matter is Correlated with Decreased Availability of Acetate in White Matter in Postmortem Multiple Sclerosis Cortex. Neurochemical Research. 38(11). 2385–2396. 35 indexed citations

Clements, Robert J., Sausan Azzam, Michael Sulak, et al.. (2011). Analysis of the mitochondrial proteome in multiple sclerosis cortex. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(5). 630–641. 95 indexed citations

Sulak, Michael. (2011). Modulation of Transient Receptor Potential Cation Channel, Subfamily A, Member 1 (TRPA1) Activity by Cdk5. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

Zhang, Hongyu, et al.. (2010). Propofol Modulates Agonist-induced Transient Receptor Potential Vanilloid Subtype-1 Receptor Desensitization via a Protein Kinase Cϵ-dependent Pathway in Mouse Dorsal Root Ganglion Sensory Neurons. Anesthesiology. 113(4). 833–844. 15 indexed citations

10.

Sizemore, Nywana, Anju Agarwal, Kingshuk Das, et al.. (2004). Inhibitor of κB kinase is required to activate a subset of interferon γ-stimulated genes. Proceedings of the National Academy of Sciences. 101(21). 7994–7998. 49 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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