J H Mar

965 citations
12 papers · 892 · h-index 10

Impact in

    • Cardiomyopathy and Myosin Studies
    • RNA Research and Splicing
    • Muscle Physiology and Disorders
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Congenital heart defects research
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways

Papers in

J H Mar

12 papers receiving 884 citations

Peers

J H Mar
Comparison fields: 5 of 53
  • Cardiology and Cardiovascular Medicine 314
  • Molecular Biology 804
  • Cell Biology 86
  • Genetics 120
  • Aging 6
Replace Teresita Macalma with:
Teresita Macalma United States
Shohreh Maleki Sweden
Ann-Kristin Östlund Farrants Sweden
Chang‐Soo Hong South Korea
Karl Heinz Grzeschik Germany
Gillian Carpenter United Kingdom
H.J. Worman United States
Masanao Toshimori Japan
Tanvi Sinha United States
Howard J. Worman United States
J H Mar relative to Teresita Macalma United States Teresita Macalma's profile →
Citations per field
00.5×3.8×
Teresita Macalma · 1×
Citations per year

Countries citing papers authored by J H Mar

Since Specialization
Citations

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

Fields of papers citing papers by J H Mar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside J H Mar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J H Mar Line = papers co-authored together J H Mar links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1990174
2 1988169
3 1992162
4 1994104
5 1988103
6 199198
7 199032
8
Single cell analysis of transfected gene expression in primary heart cultures containing multiple cell types.
199021
9 199011
10
Cardiac troponin T gene expression in muscle.
199211
11 19796
12 20081

About J H Mar

J H Mar is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Physiology and Endocrinology, having authored 12 papers that have together received 892 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (9 papers), RNA modifications and cancer (5 papers), Muscle Physiology and Disorders (3 papers), Hemoglobin structure and function (2 papers), Viral Infections and Immunology Research (2 papers), Erythrocyte Function and Pathophysiology (1 paper) and Legionella and Acanthamoeba research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (314 citations), Molecular Biology (804 citations), Cell Biology (86 citations), Genetics (120 citations) and Aging (6 citations). J H Mar has collaborated with scholars based in United States. Frequent co-authors include Charles P. Ordahl, Iain K. Farrance, R. C. Iannello, Parker B. Antin, Thomas A. Cooper, Alexandre F.R. Stewart, Deborah E. Hall, William Nikovits, Charles J. Walsh and Kenneth E. Ugen. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Experimental Cell Research.

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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