Noah Moss

2.2k citations
43 papers · 753 indexed · h-index 12

Noah Moss

38 papers receiving 739 citations

Peers

Noah Moss
Comparison fields: 5 of 87
  • Clinical Biochemistry 112
  • Infectious Diseases 302
  • Applied Microbiology and Biotechnology 17
  • Cardiology and Cardiovascular Medicine 181
  • Emergency Medicine 74
Replace Sven Laudi with:
Sven Laudi Germany
Susanne Weber Germany
Shingo Chihara Japan
Y. Castaing France
Esther Gómez‐Sánchez Spain
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Christian Brooks United States
Christina Yen United States
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Yasuhiko Taira Japan
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Noah Moss

Since Specialization
Citations

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

Fields of papers citing papers by Noah Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 20240
5 20236
6 202316
7 202315
8 20222
9 20221
10 20228
11 202249
12 20224
13 20213
14 202023
15 202060
16 202040
17 202032
18 20182
19
Don't Mess with Texas: Garcia v. Texas and the Supreme Court's Inversion of the Supremacy Clause
20122
20 20118

About Noah Moss

Noah Moss is a scholar working on Emergency Medicine, Transplantation, Internal Medicine, Applied Microbiology and Biotechnology and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 753 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (21 papers), Cardiac Structural Anomalies and Repair (16 papers), Cardiac Arrest and Resuscitation (10 papers), Heart Failure Treatment and Management (7 papers), Transplantation: Methods and Outcomes (6 papers), COVID-19 Clinical Research Studies (4 papers), Diabetes Treatment and Management (4 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Clinical Biochemistry (112 citations), Infectious Diseases (302 citations), Applied Microbiology and Biotechnology (17 citations), Cardiology and Cardiovascular Medicine (181 citations) and Emergency Medicine (74 citations). Noah Moss has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Françoise Perdreau‐Remington, Edwin D. Charlebois, Matthew R. Moore, David R. Bangsberg, Andrew R. Moss, Henry F. Chambers, Anuradha Lala, Donna Mancini, Ming Zhou and Jun Weng. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Journal of the American College of Cardiology, Journal of Cardiac Failure, JACC Heart Failure and ASAIO Journal.

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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