J. Miller

1.7k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

J. Miller is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, J. Miller has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Physiology. Recurrent topics in J. Miller's work include Renin-Angiotensin System Studies (2 papers), Phosphodiesterase function and regulation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). J. Miller is often cited by papers focused on Renin-Angiotensin System Studies (2 papers), Phosphodiesterase function and regulation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). J. Miller collaborates with scholars based in United States and Japan. J. Miller's co-authors include Barry Greenberg, Forrest Fuller, Xuefeng B. Ling, William Wallace, Daniel K. Hsu, Barbara Cordell, Ivan Lieberburg, Phyllis Ponte, Sergei D. Rybalkin and Kimberly A. Hanson and has published in prestigious journals such as Nature, Endocrine Reviews and Biochemistry.

In The Last Decade

J. Miller

6 papers receiving 1.4k 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 new A4 amyloid mRNA contains a domain homologous to serine proteinase inhibitors

1988 894 citations Phyllis Ponte, Xuefeng B. Ling et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Miller United States	6	938	886	351	166	153	6	1.4k
C.G. Chapman United Kingdom	15	1.1k 1.2×	1.0k 1.1×	495 1.4×	62 0.4×	368 2.4×	25	1.9k
Shih-Chu Kao United States	9	991 1.1×	728 0.8×	413 1.2×	31 0.2×	177 1.2×	10	1.8k
Mario Nizzari Italy	20	958 1.0×	376 0.4×	352 1.0×	32 0.2×	96 0.6×	51	1.4k
Maureen E. Balestra United States	13	987 1.1×	688 0.8×	337 1.0×	23 0.1×	165 1.1×	15	1.6k
Midori OGAWARA Japan	13	1.0k 1.1×	1.2k 1.3×	295 0.8×	35 0.2×	199 1.3×	30	1.9k
Hiroshi Hasegawa Japan	14	668 0.7×	674 0.8×	253 0.7×	19 0.1×	167 1.1×	22	1.2k
Simon Glerup Denmark	21	570 0.6×	321 0.4×	394 1.1×	47 0.3×	46 0.3×	55	1.6k
Georges Lévesque Canada	18	787 0.8×	778 0.9×	233 0.7×	14 0.1×	204 1.3×	43	1.3k
Ivan Fernandez‐Madrid United States	9	799 0.9×	970 1.1×	153 0.4×	35 0.2×	143 0.9×	12	1.4k
Leticia Miravalle United States	15	663 0.7×	675 0.8×	158 0.5×	18 0.1×	100 0.7×	20	1.2k

Countries citing papers authored by J. Miller

Since Specialization

Citations

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

Fields of papers citing papers by J. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Miller

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

All Works

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6 of 6 papers shown

1.

Hanson, Kimberly A., Fiona Burns, Sergei D. Rybalkin, et al.. (1998). Developmental Changes in Lung cGMP Phosphodiesterase-5 Activity, Protein, and Message. American Journal of Respiratory and Critical Care Medicine. 158(1). 279–288. 73 indexed citations

2.

Newcomb, R.W., Balázs Szőke, Andrew Palma, et al.. (1998). Selective Peptide Antagonist of the Class E Calcium Channel from the Venom of the TarantulaHysterocrates gigas. Biochemistry. 37(44). 15353–15362. 329 indexed citations

3.

Hanson, Kimberly A., James W. Ziegler, Sergei D. Rybalkin, et al.. (1998). Chronic pulmonary hypertension increases fetal lung cGMP phosphodiesterase activity. American Journal of Physiology-Lung Cellular and Molecular Physiology. 275(5). L931–L941. 110 indexed citations

4.

Sekiguchi, Raymond, Kathleen R. Braun, J. Miller, et al.. (1994). Characterization of proteoglycans synthesized by murine embryonal carcinoma cells (P19) reveals increased expression of perlecan (heparan sulfate proteoglycan) during neuronal differentiation. Journal of Neuroscience Research. 38(6). 670–686. 19 indexed citations

5.

Miller, J.. (1993). The medical treatment of Cushing's syndrome. Endocrine Reviews. 14(4). 443–458. 11 indexed citations

6.

Ponte, Phyllis, Xuefeng B. Ling, J. Miller, et al.. (1988). A new A4 amyloid mRNA contains a domain homologous to serine proteinase inhibitors. Nature. 331(6156). 525–527. 894 indexed citations breakdown →

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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