M J Keller

885 total citations · 1 hit paper
7 papers, 826 citations indexed

About

M J Keller is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, M J Keller has authored 7 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Nephrology and 2 papers in Genetics. Recurrent topics in M J Keller's work include Ion Transport and Channel Regulation (3 papers), RNA Interference and Gene Delivery (2 papers) and Parathyroid Disorders and Treatments (2 papers). M J Keller is often cited by papers focused on Ion Transport and Channel Regulation (3 papers), RNA Interference and Gene Delivery (2 papers) and Parathyroid Disorders and Treatments (2 papers). M J Keller collaborates with scholars based in United States. M J Keller's co-authors include David J. Shapiro, Phillip A. Sharp, Judith A. Jaehning, Thomas P. Douša, Naoki Murayama, Ahad Noor Khan Yusufi, Dennis McKearin, Michelle Barton, A.N.K. Yusufi and Steven E. Wilcoxen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Endocrinology.

In The Last Decade

M J Keller

7 papers receiving 812 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.

A High-Efficiency HeLa Cell Nuclear Transcription Extract

1988 595 citations David J. Shapiro, Phillip A. Sharp et al. DNA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M J Keller United States	7	598	198	136	83	65	7	826
Margaret Crisp United States	8	395 0.7×	160 0.8×	55 0.4×	65 0.8×	44 0.7×	14	633
M. Rivière Belgium	15	588 1.0×	238 1.2×	47 0.3×	85 1.0×	30 0.5×	42	775
K Kataoka Japan	6	513 0.9×	112 0.6×	91 0.7×	53 0.6×	16 0.2×	11	737
Melissa S. McNulty United States	13	470 0.8×	88 0.4×	57 0.4×	89 1.1×	37 0.6×	19	702
R Bohman United States	15	292 0.5×	53 0.3×	187 1.4×	74 0.9×	16 0.2×	19	657
Juan Antonio Torres Acosta United States	13	470 0.8×	64 0.3×	256 1.9×	57 0.7×	73 1.1×	16	1.0k
Rita Lieberman United States	10	336 0.6×	112 0.6×	198 1.5×	144 1.7×	20 0.3×	17	659
Tapati Maity United States	9	561 0.9×	86 0.4×	68 0.5×	127 1.5×	30 0.5×	14	775
Huiping Shi China	15	321 0.5×	224 1.1×	101 0.7×	51 0.6×	20 0.3×	54	754
Thillainathan Yoganathan Canada	11	377 0.6×	73 0.4×	49 0.4×	69 0.8×	18 0.3×	15	624

Countries citing papers authored by M J Keller

Since Specialization

Citations

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

Fields of papers citing papers by M J Keller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M J Keller. 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 M J Keller. The network helps show where M J Keller may publish in the future.

Co-authorship network of co-authors of M J Keller

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Shapiro, David J., et al.. (1988). A High-Efficiency HeLa Cell Nuclear Transcription Extract. DNA. 7(1). 47–55. 595 indexed citations breakdown →

2.

Wilcoxen, Steven E., et al.. (1988). Two forms of RPO41-dependent RNA polymerase. Regulation of the RNA polymerase by glucose repression may control yeast mitochondrial gene expression.. Journal of Biological Chemistry. 263(25). 12346–12351. 22 indexed citations

3.

McKearin, Dennis, Michelle Barton, M J Keller, & David J. Shapiro. (1987). Estrogen induces transcription of the Xenopus laevis serum retinol-binding protein gene.. Journal of Biological Chemistry. 262(11). 4939–4942. 37 indexed citations

4.

Yusufi, Ahad Noor Khan, Naoki Murayama, M J Keller, & Thomas P. Douša. (1985). Modulatory Effect of Thyroid Hormones on Uptake of Phosphate and Other Solutes across Luminal Brush Border Membrane of Kidney Cortex*. Endocrinology. 116(6). 2438–2449. 46 indexed citations

5.

Keller, M J, et al.. (1985). A multicomponent mitochondrial RNA polymerase from Saccharomyces cerevisiae.. Journal of Biological Chemistry. 260(26). 14214–14223. 81 indexed citations

6.

Keller, M J, et al.. (1984). Effect of thyroxine administration on phosphate transport across renal cortical brush border membrane. American Journal of Physiology-Renal Physiology. 246(2). F133–F139. 28 indexed citations

7.

Kusano, Eiji, et al.. (1983). Chlorpropamide action on renal concentrating mechanism in rats with hypothalamic diabetes insipidus.. Journal of Clinical Investigation. 72(4). 1298–1313. 17 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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