J. Moss

2.0k citations
71 papers · 1.4k · h-index 21

Impact in

    • Vector-borne infectious diseases
  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases

Papers in

J. Moss

63 papers receiving 1.4k citations

Peers

J. Moss
Comparison fields: 5 of 121
  • Parasitology 80
  • Immunology 252
  • Infectious Diseases 146
  • Cellular and Molecular Neuroscience 137
  • Biochemistry 43
Replace Mahavir Singh with:
Mahavir Singh United States
Shahriar Dabiri Iran
Philip Scuderi United States
Fausto Sánchez‐Muñoz Mexico
Fabiano Ferreira Brazil
Yanhua Wang China
Angelica Perna Italy
William J. Hubbard United States
Tobias Polte Germany
Feng Dong United States
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Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by J. Moss

Since Specialization
Citations

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

Fields of papers citing papers by J. Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Moss, 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. Moss Line = papers co-authored together J. Moss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 2000107
3 200497
4 201696
5 201763
6 201862
7 199853
8 199748
9
Experimental interstitial renal fibrosis in rats: nephritis induced by N-(3,5-dichlorophenyl)succinimide.
198344
10 202044
11 201636
12 199935
13 201530
14 199229
15
Model for cachexia in chronic disease: secretory products of endotoxin-stimulated macrophages induce a catabolic state in 3T3-L1 adipocytes.
198428
16 201026
17 199524
18 201624
19 200822
20 201922

About J. Moss

J. Moss is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology and Infectious Diseases, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (7 papers), Cardiac Arrhythmias and Treatments (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Cholesterol and Lipid Metabolism (5 papers), Cell Adhesion Molecules Research (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Diabetes and associated disorders (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Parasitology (80 citations), Immunology (252 citations), Infectious Diseases (146 citations), Cellular and Molecular Neuroscience (137 citations) and Biochemistry (43 citations). J. Moss has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Dipak P. Ramji, D Woodrow, M C Barrett, Sue Plummer, Ion Gresser, S. J. Cashman, Stuart Mealing, R. Lane, Gary R. Coulton and Sally J. Cutler. Their work appears in journals such as Scientific Reports, Journal of Hypertension, International Wound Journal, British Journal of Dermatology and Journal of Medical Economics.

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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