James Schrementi

544 total citations
8 papers, 444 citations indexed

About

James Schrementi is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, James Schrementi has authored 8 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in James Schrementi's work include Animal Genetics and Reproduction (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cholesterol and Lipid Metabolism (1 paper). James Schrementi is often cited by papers focused on Animal Genetics and Reproduction (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cholesterol and Lipid Metabolism (1 paper). James Schrementi collaborates with scholars based in United States, Sweden and France. James Schrementi's co-authors include Niles Fox, Yu Lan, Sheng-Bin Peng, Eric Wen Su, S Kovacevic, Donald C. Paul, Jian Wang, Susanne Klaus, Anne‐Marie Cassard and Frédéric Bouillaud and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

James Schrementi

8 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Schrementi United States	6	175	146	144	115	63	8	444
Shauna Hill United States	12	137 0.8×	138 0.9×	345 2.4×	35 0.3×	32 0.5×	14	560
Xavier Gauthereau France	11	54 0.3×	140 1.0×	253 1.8×	106 0.9×	26 0.4×	16	469
Gülden Dınız Türkiye	12	57 0.3×	62 0.4×	193 1.3×	60 0.5×	64 1.0×	78	457
Paul W. Fisher United States	14	46 0.3×	101 0.7×	206 1.4×	61 0.5×	53 0.8×	17	504
Nancy L. Stewart United States	5	48 0.3×	209 1.4×	133 0.9×	82 0.7×	255 4.0×	8	479
Gergely Groma Hungary	12	66 0.4×	143 1.0×	106 0.7×	109 0.9×	33 0.5×	21	383
Bradley S. Henson United States	10	105 0.6×	114 0.8×	274 1.9×	24 0.2×	89 1.4×	11	614
Penio Todorov United Kingdom	8	268 1.5×	118 0.8×	290 2.0×	127 1.1×	18 0.3×	8	597
Satish Kalari United States	10	89 0.5×	65 0.4×	505 3.5×	105 0.9×	33 0.5×	13	635
Marta Brewińska‐Olchowik Poland	12	62 0.4×	60 0.4×	244 1.7×	80 0.7×	34 0.5×	14	468

Countries citing papers authored by James Schrementi

Since Specialization

Citations

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

Fields of papers citing papers by James Schrementi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Schrementi

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

All Works

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8 of 8 papers shown

Yurek, David A, Yu Lan, James Schrementi, et al.. (2014). Development of a high-throughput assay for aldosterone synthase inhibitors using high-performance liquid chromatography–tandem mass spectrometry. Analytical Biochemistry. 462. 44–50. 3 indexed citations

Wang, Jian, Yu Lan, He Wang, et al.. (2007). Identification and Characterization of Hamster Stearoyl‐CoA Desaturase Isoforms. Lipids. 43(3). 197–205. 4 indexed citations

Lan, Yu, Sheng-Bin Peng, James Schrementi, et al.. (2006). Identification and expression of novel isoforms of human stromal cell-derived factor 1. Gene. 374. 174–179. 170 indexed citations

Jackson, William T., Larry L. Froelich, Robert J. Boyd, et al.. (1999). Pharmacologic Actions of the Second-Generation Leukotriene B4 Receptor Antagonist LY293111: In Vitro Studies. Journal of Pharmacology and Experimental Therapeutics. 288(1). 286–294. 49 indexed citations

Fox, Niles, et al.. (1997). APP Gene Promoter Constructs Are Preferentially Expressed in the CNS and Testis of Transgenic Mice. Biochemical and Biophysical Research Communications. 240(3). 759–762. 18 indexed citations

Fox, Niles, Min Song, James Schrementi, et al.. (1996). Transgenic model for the discovery of novel human secretory non-pancreatic phospholipase A2 inhibitors. European Journal of Pharmacology. 308(2). 195–203. 32 indexed citations

Fox, Niles, James Schrementi, Masahiro Nishi, et al.. (1993). Human islet amyloid polypeptide transgenic mice as a model of non‐insulin‐dependent diabetes mellitus (NIDDM). FEBS Letters. 323(1-2). 40–44. 70 indexed citations

Cassard, Anne‐Marie, C. Gelly, Niles Fox, et al.. (1993). Tissue-specific and beta-adrenergic regulation of the mitochondrial uncoupling protein gene: control by cis-acting elements in the 5'-flanking region.. Molecular Endocrinology. 7(4). 497–506. 98 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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