A A Moss

2.5k citations
43 papers · 2.1k · h-index 24

Impact in

Papers in

A A Moss

43 papers receiving 1.8k citations

Peers

A A Moss
Comparison fields: 5 of 102
  • Hepatology 212
  • Radiology, Nuclear Medicine and Imaging 548
  • Surgery 626
  • Nephrology 92
  • Epidemiology 414
Replace Tamio Aburano with:
Tamio Aburano Japan
D D Stark United States
AA Moss United States
J R Haaga United States
John G. McAfee United States
Denis H. Carr United Kingdom
A. Hemmingsson Sweden
Robert C. Stadalnik United States
Albert A. Moss United States
G M Glazer United States
A A Moss relative to Tamio Aburano Japan Tamio Aburano's profile →
Citations per field
00.5×1.5×1.9×
Tamio Aburano · 1×
Citations per year

Countries citing papers authored by A A Moss

Since Specialization
Citations

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

Fields of papers citing papers by A A Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980255
2 1985182
3 1981174
4 1983130
5 1979125
6 198498
7 198294
8 198487
9 198382
10 198369
11 198466
12 198965
13 198663
14 198563
15 198452
16 198548
17 198348
18 198440
19 198940
20 197935

About A A Moss

A A Moss is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Aortic aneurysm repair treatments (3 papers), Hormonal Regulation and Hypertension (3 papers), Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Hepatology (212 citations), Radiology, Nuclear Medicine and Imaging (548 citations), Surgery (626 citations), Nephrology (92 citations) and Epidemiology (414 citations). A A Moss has collaborated with scholars based in United States and Israel. Frequent co-authors include David D. Stark, H I Goldberg, N M Bass, A R Margulis, Henry I. Goldberg, S. A. Royal, Leon Axel, Janusz H. Piekarski, Pierre A. Schnyder and Ruedi F. Thoeni. Their work appears in journals such as Radiology, Investigative Radiology, American Journal of Roentgenology, Journal of Computer Assisted Tomography and Scandinavian Journal of Gastroenterology.

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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