Samuel Moss

742 citations
15 papers · 466 indexed · h-index 10

Samuel Moss

15 papers receiving 441 citations

Peers

Samuel Moss
Comparison fields: 5 of 79
  • Infectious Diseases 140
  • Neurology 109
  • Pulmonary and Respiratory Medicine 183
  • Agronomy and Crop Science 47
  • Rheumatology 60
Replace Giulia Marini with:
Giulia Marini Italy
T. Endo Japan
Rita Bianchi Italy
Toshihiro Yamashita Japan
Masheka A. Barrett United States
Gabriela Trentin Scortegagna Brazil
Hidenori Sasaki Japan
Emma Doran United Kingdom
D. Barry Boyd United States
Amir Hossein Massoud Canada
Samuel Moss relative to Giulia Marini Italy Giulia Marini's profile →
Citations per field
00.5×6.5×
Giulia Marini · 1×
Citations per year

Countries citing papers authored by Samuel Moss

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20243
2 20231
3 202257
4 202187
5 202113
6 202031
7 201498
8 201375
9 20112
10 19712
11 19569
12
Some observations on the bovine corpus luteum and endometrium during early stages of pregnancy.
19565
13 195434
14 195411
15 195138

About Samuel Moss

Samuel Moss is a scholar working on Agronomy and Crop Science, Neurology, Infectious Diseases, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (4 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Respiratory Support and Mechanisms (2 papers), Systemic Sclerosis and Related Diseases (2 papers) and Advanced Breast Cancer Therapies (1 paper). The work is most often cited by research in Infectious Diseases (140 citations), Neurology (109 citations), Pulmonary and Respiratory Medicine (183 citations), Agronomy and Crop Science (47 citations) and Rheumatology (60 citations). Samuel Moss has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Karen A. Robinson, Alan R Smyth, Laura Fabbri, Fasihul Khan, Gísli Jenkins, Iain Stewart, James W. Thomas, T.R. Wrenn, J. F. Sykes and George D. Demetri. Their work appears in journals such as Thorax, Molecular Cancer Therapeutics, Clinical Cancer Research, The Anatomical Record and Endocrinology.

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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