Mark A. Kessler

1.9k total citations
35 papers, 1.5k citations indexed

About

Mark A. Kessler is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mark A. Kessler has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mark A. Kessler's work include Growth Hormone and Insulin-like Growth Factors (7 papers), RNA modifications and cancer (6 papers) and Geology and Paleoclimatology Research (5 papers). Mark A. Kessler is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (7 papers), RNA modifications and cancer (6 papers) and Geology and Paleoclimatology Research (5 papers). Mark A. Kessler collaborates with scholars based in United States, Israel and Russia. Mark A. Kessler's co-authors include Robert S. Anderson, Linda A. Schuler, B. T. Werner, Péter Molnár, Yosef Aloni, Jason P. Briner, Patricia A. Scott, Greg M. Stock, Michael B. Mathews and Edna Ben‐Asher and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mark A. Kessler

35 papers receiving 1.5k 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 A. Kessler United States 22 592 429 258 256 219 35 1.5k
S. R. Young United States 22 401 0.7× 797 1.9× 633 2.5× 20 0.1× 115 0.5× 48 2.6k
Mary E. White United States 18 38 0.1× 646 1.5× 427 1.7× 151 0.6× 13 0.1× 58 1.3k
Andrew J. Malcolm Canada 15 946 1.6× 249 0.6× 566 2.2× 142 0.6× 6 0.0× 32 2.6k
David W. Clark United States 23 36 0.1× 639 1.5× 547 2.1× 21 0.1× 13 0.1× 89 2.1k
Simon R. Thompson United Kingdom 21 126 0.2× 367 0.9× 310 1.2× 18 0.1× 15 0.1× 36 1.3k
Richard J. Dixon United Kingdom 19 164 0.3× 319 0.7× 50 0.2× 15 0.1× 21 0.1× 38 1.3k
Charlie J. Underwood United Kingdom 33 406 0.7× 372 0.9× 54 0.2× 8 0.0× 10 0.0× 123 3.2k
Takahiro Tagami Japan 40 718 1.2× 1.4k 3.3× 1.3k 5.1× 4 0.0× 23 0.1× 163 4.4k
Patricia Wouters-Ballman Belgium 12 48 0.1× 99 0.2× 209 0.8× 38 0.1× 4 0.0× 20 779
Stuart W. Smith United Kingdom 21 28 0.0× 369 0.9× 56 0.2× 32 0.1× 23 0.1× 65 1.3k

Countries citing papers authored by Mark A. Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Kessler

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

All Works

20 of 20 papers shown
1.
Dobrea, E. Z. Noe, et al.. (2007). Patterned Ground as an Alternative Explanation for the Formation of Brain Coral Textures in the Mid Latitudes of Mars: HiRISE Observations of Lineated Valley Fill Textures. 1353. 3358. 18 indexed citations
2.
Kessler, Mark A., Ming Yang, Kandace Gollomp, Hao Jin, & Lorraine Iacovitti. (2003). The human tyrosine hydroxylase gene promoter. Molecular Brain Research. 112(1-2). 8–23. 59 indexed citations
3.
Albert, Thomas J., et al.. (2000). SmMAK16, the Schistosoma mansoni homologue of MAK16 from yeast, targets protein transport to the nucleolus. Molecular and Biochemical Parasitology. 108(2). 225–236. 11 indexed citations
4.
Kessler, Mark A. & Linda A. Schuler. (1997). Purification and properties of placental prolactin-related protein-I. Placenta. 18(1). 29–36. 19 indexed citations
5.
Tseng, Yu‐Hua, Mark A. Kessler, & Linda A. Schuler. (1997). Regulation of interleukin (IL)-1α, IL-1β, and IL-6 expression by growth hormone and prolactin in bovine thymic stromal cells. Molecular and Cellular Endocrinology. 128(1-2). 117–127. 39 indexed citations
6.
Kessler, Mark A., et al.. (1992). Parameters affecting the elongation block by RNA polymerase II at the SV40 attenuator 1 in vitro. Biochemistry. 31(35). 8369–8376. 6 indexed citations
7.
Scott, Patricia A., Mark A. Kessler, & Linda A. Schuler. (1992). Molecular cloning of the bovine prolactin receptor and distribution of prolactin and growth hormone receptor transcripts in fetal and utero-placental tissues. Molecular and Cellular Endocrinology. 89(1-2). 47–58. 99 indexed citations
8.
Schuler, Linda A. & Mark A. Kessler. (1992). Bovine placental prolactin-related hormones. Trends in Endocrinology and Metabolism. 3(9). 334–338. 23 indexed citations
9.
Schuler, Linda A., Mark A. Kessler, Minoru Tanaka, & Kunio Nakashima. (1991). Nomenclature Clarification for the Bovine Placental Prolactin-Related Hormones. Endocrinology. 129(4). 2057–2057. 16 indexed citations
10.
Kessler, Mark A. & Linda A. Schuler. (1991). Structure of the Bovine Placental Lactogen Gene and Alternative Splicing of Transcripts. DNA and Cell Biology. 10(2). 93–104. 28 indexed citations
11.
Kessler, Mark A., et al.. (1990). Characterization of a Novel Prolactin-Related Protein from Bovine Fetal Placenta*. Endocrinology. 126(5). 2377–2382. 20 indexed citations
12.
14.
Kessler, Mark A., et al.. (1989). A subfamily of bovine prolactin-related transcripts distinct from placental lactogen in the fetal placenta. Biochemistry. 28(12). 5154–5161. 29 indexed citations
15.
Resnekov, Orna, Edna Ben‐Asher, Eyal Bengal, et al.. (1988). Transcription termination in animal viruses and cells. Gene. 72(1-2). 91–104. 24 indexed citations
16.
Schuler, Linda A., et al.. (1988). Bovine placental lactogen: molecular cloning and protein structure. Biochemistry. 27(22). 8443–8448. 62 indexed citations
17.
Seiberg, Miri, Mark A. Kessler, Arnold J. Levine, & Yosef Aloni. (1987). Human RNA polymerase II can prematurely terminate transcription of the adenovirus type 2 late transcription unit at a precise site that resembles a prokaryotic termination signal. Virus Genes. 1(1). 97–116. 26 indexed citations
18.
Kessler, Mark A., et al.. (1986). 1,25-Dihydroxyvitamin D3-stimulated mRNAs in rat small intestine. Archives of Biochemistry and Biophysics. 251(2). 403–412. 35 indexed citations
19.
Kessler, Mark A. & Yosef Aloni. (1984). Mapping in vivo initiation sites of RNA transcription and determining their relative use. Journal of Virology. 52(1). 277–280. 4 indexed citations
20.
Hay, Nissim, Mark A. Kessler, & Yosef Aloni. (1984). SV40 deletion mutant (d1861) with agnoprotein shortened by four amino acids. Virology. 137(1). 160–170. 13 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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