Jennifer Meth

996 total citations
9 papers, 736 citations indexed

About

Jennifer Meth is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Jennifer Meth has authored 9 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Genetics. Recurrent topics in Jennifer Meth's work include Ion Transport and Channel Regulation (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Cancer-related gene regulation (2 papers). Jennifer Meth is often cited by papers focused on Ion Transport and Channel Regulation (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Cancer-related gene regulation (2 papers). Jennifer Meth collaborates with scholars based in United States, Sweden and Japan. Jennifer Meth's co-authors include Michael Wigler, Linda Rodgers, Masaaki Hamaguchi, Vladimir Grubor, Jennifer Troge, Nicholas E. Navin, Jude Kendall, James Hicks, Susanne Månér and Alexander Krasnitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Journal of Molecular Biology.

In The Last Decade

Jennifer Meth

9 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Meth United States	7	437	340	205	144	103	9	736
Yow-Ling Shiue Taiwan	21	523 1.2×	242 0.7×	224 1.1×	127 0.9×	80 0.8×	33	896
Fons Elstrodt Netherlands	8	494 1.1×	146 0.4×	340 1.7×	118 0.8×	54 0.5×	9	691
Víctor J. Sánchez‐Arévalo Lobo Spain	14	693 1.6×	152 0.4×	311 1.5×	44 0.3×	59 0.6×	23	887
Xianyu Zhang China	17	649 1.5×	307 0.9×	295 1.4×	71 0.5×	143 1.4×	52	1.0k
Arusha Oloumi Canada	11	694 1.6×	325 1.0×	249 1.2×	179 1.2×	87 0.8×	12	1.0k
Carter J. Barger United States	14	517 1.2×	153 0.5×	171 0.8×	45 0.3×	65 0.6×	22	708
Tien-Chi Pan United States	14	769 1.8×	320 0.9×	618 3.0×	118 0.8×	70 0.7×	18	1.2k
W. Ruprecht Wiedemeyer United States	9	376 0.9×	223 0.7×	369 1.8×	36 0.3×	64 0.6×	12	718
Jord H.A. Nagel Netherlands	11	633 1.4×	152 0.4×	319 1.6×	203 1.4×	50 0.5×	14	840
Ryo Koyama‐Nasu Japan	17	659 1.5×	170 0.5×	237 1.2×	64 0.4×	23 0.2×	30	972

Countries citing papers authored by Jennifer Meth

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Meth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Meth

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

All Works

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9 of 9 papers shown

Wei, Yuan, et al.. (2023). Tubular deficiency of ABCA1 augments cholesterol- and Na⁺-dependent effects on systemic blood pressure in male mice. American Journal of Physiology-Renal Physiology. 326(2). F265–F277. 1 indexed citations

Meth, Jennifer, et al.. (2021). Unilateral Nephrectomy Stimulates ERK and Is Associated With Enhanced Na Transport. Frontiers in Physiology. 12. 583453–583453. 2 indexed citations

Meth, Jennifer, et al.. (2019). Cellular cholesterol modifies flow-mediated gene expression. American Journal of Physiology-Renal Physiology. 317(4). F815–F824. 6 indexed citations

Kusenda, Mary, Vladimir Vacic, Dheeraj Malhotra, et al.. (2015). The Influence of Microdeletions and Microduplications of 16p11.2 on Global Transcription Profiles. Journal of Child Neurology. 30(14). 1947–1953. 9 indexed citations

Navin, Nicholas E., Alexander Krasnitz, Linda Rodgers, et al.. (2009). Inferring tumor progression from genomic heterogeneity. Genome Research. 20(1). 68–80. 367 indexed citations

Grubor, Vladimir, A. Krasnitz, Jennifer Troge, et al.. (2008). Novel genomic alterations and clonal evolution in chronic lymphocytic leukemia revealed by representational oligonucleotide microarray analysis (ROMA). Blood. 113(6). 1294–1303. 74 indexed citations

Sato, Noriko, et al.. (2006). DBC2 is Essential for Transporting Vesicular Stomatitis Virus Glycoprotein. Journal of Molecular Biology. 364(3). 302–308. 29 indexed citations

Meth, Jennifer, et al.. (2004). DBC2 Significantly Influences Cell-cycle, Apoptosis, Cytoskeleton and Membrane-trafficking Pathways. Journal of Molecular Biology. 346(1). 83–89. 71 indexed citations

Hamaguchi, Masaaki, Jennifer Meth, Christine von Klitzing, et al.. (2002). DBC2 , a candidate for a tumor suppressor gene involved in breast cancer. Proceedings of the National Academy of Sciences. 99(21). 13647–13652. 177 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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