Tom McCormack

1.7k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

Tom McCormack is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Tom McCormack has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 1 paper in Surgery. Recurrent topics in Tom McCormack's work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (2 papers) and RNA and protein synthesis mechanisms (2 papers). Tom McCormack is often cited by papers focused on Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (2 papers) and RNA and protein synthesis mechanisms (2 papers). Tom McCormack collaborates with scholars based in United States, India and Germany. Tom McCormack's co-authors include Bernardo Rudy, Marcela S. Nadal, Andrés Ozaita, Michael J. Saganich, Joanna C. Chiu, Eleazar Vega‐Saenz de Miera, Yimy Amarillo, William A. Coetzee, David Lau and Alan Chow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and FEBS Letters.

In The Last Decade

Tom McCormack

7 papers receiving 1.3k 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.

Molecular Diversity of K⁺ Channels

1999 957 citations William A. Coetzee, Yimy Amarillo et al. Annals of the New York Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom McCormack United States	5	1.1k	760	478	128	99	7	1.3k
David Pountney United States	14	1.2k 1.1×	812 1.1×	476 1.0×	131 1.0×	100 1.0×	40	1.6k
David P. McCobb United States	12	1.2k 1.1×	755 1.0×	434 0.9×	54 0.4×	123 1.2×	13	1.4k
Yimy Amarillo United States	13	1.5k 1.4×	1.3k 1.6×	607 1.3×	302 2.4×	133 1.3×	16	1.9k
Zongming Pan United States	10	1.3k 1.2×	846 1.1×	1.1k 2.2×	43 0.3×	76 0.8×	10	1.7k
Synnöve Beckh Germany	8	915 0.8×	763 1.0×	303 0.6×	48 0.4×	25 0.3×	10	1.1k
Hélène Vacher France	19	916 0.8×	662 0.9×	242 0.5×	110 0.9×	50 0.5×	30	1.3k
Brett Simms Canada	11	766 0.7×	579 0.8×	205 0.4×	60 0.5×	64 0.6×	14	1.0k
Milena Menegola United States	10	662 0.6×	550 0.7×	258 0.5×	87 0.7×	28 0.3×	11	825
Manuel Kukuljan Chile	20	696 0.6×	360 0.5×	92 0.2×	79 0.6×	79 0.8×	28	1.1k
Barry Ganetzky United States	9	687 0.6×	406 0.5×	221 0.5×	34 0.3×	52 0.5×	10	1.1k

Countries citing papers authored by Tom McCormack

Since Specialization

Citations

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

Fields of papers citing papers by Tom McCormack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom McCormack

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

Zagha, Edward, Andrés Ozaita, Marcela S. Nadal, et al.. (2005). DPP10 Modulates Kv4-mediated A-type Potassium Channels. Journal of Biological Chemistry. 280(19). 18853–18861. 105 indexed citations

2.

Coetzee, William A., Yimy Amarillo, Joanna C. Chiu, et al.. (1999). Molecular Diversity of K⁺ Channels. Annals of the New York Academy of Sciences. 868(1). 233–255. 957 indexed citations breakdown →

3.

McCormack, Tom, Bernardo Rudy, & Michael F. Seldin. (1999). Chromosomal Mapping of the Potassium Channel Genes Kcnq2 and Kcnq3 in Mouse. Genomics. 56(3). 360–361. 4 indexed citations

4.

McCormack, Tom, Ken McCormack, Marcela S. Nadal, et al.. (1999). The Effects of Shaker β-Subunits on the Human Lymphocyte K+ Channel Kv1.3. Journal of Biological Chemistry. 274(29). 20123–20126. 40 indexed citations

5.

McCormack, Ken, Tom McCormack, Mark A. Tanouye, Bernardo Rudy, & Walter Stühmer. (1995). Alternative splicing of the human Shaker K⁺ channel β1 gene and functional expression of the β2 gene product. FEBS Letters. 370(1-2). 32–36. 96 indexed citations

6.

McCormack, Tom, et al.. (1991). Molecular cloning of a member of a third class of Shaker-family K+ channel genes in mammals.. Proceedings of the National Academy of Sciences. 88(9). 4060–4060. 4 indexed citations

7.

McCormack, Tom, et al.. (1990). Molecular cloning of a member of a third class of Shaker-family K+ channel genes in mammals.. Proceedings of the National Academy of Sciences. 87(13). 5227–5231. 87 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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