S Moss

823 citations
24 papers · 447 · h-index 13

Impact in

  • Oncology top 10%
    • Colorectal Cancer Screening and Detection
    • Global Cancer Incidence and Screening
    • Bacterial Identification and Susceptibility Testing

Papers in

    • Global Cancer Incidence and Screening 6
    • Colorectal Cancer Screening and Detection 3
    • Pneumocystis jirovecii pneumonia detection and treatment 2

S Moss

22 papers receiving 428 citations

Peers

S Moss
Comparison fields: 5 of 76
  • Oncology 242
  • Clinical Biochemistry 51
  • Molecular Medicine 28
  • Microbiology 31
  • Infectious Diseases 77
Replace Maha Abdel Hadi with:
Maha Abdel Hadi Saudi Arabia
Meklit Workneh United States
Jérôme Antoine Belgium
Goh Ohji Japan
Karin Wulf Germany
Wenlong He China
Jenna Rossoff United States
Christina Sze Man Wong United Kingdom
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Adam S. Komorowski Canada
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Citations per field
00.5×7.8×
Maha Abdel Hadi · 1×
Citations per year

Countries citing papers authored by S Moss

Since Specialization
Citations

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

Fields of papers citing papers by S Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198496
2 201263
3 201162
4 200029
5 200126
6 200219
7 201418
8 200617
9 198316
10 199515
11 200114
12 201312
13 199112
14 200710
15
Cervical cancer screening in north-east Scotland.
198610
16 19948
17 20197
18 19847
19 20152
20 19962

About S Moss

S Moss is a scholar working on Oncology, Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine and Genetics, having authored 24 papers that have together received 447 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (6 papers), Colorectal Cancer Screening and Detection (3 papers), Digital Radiography and Breast Imaging (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), AI in cancer detection (2 papers), BRCA gene mutations in cancer (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Oncology (242 citations), Clinical Biochemistry (51 citations), Molecular Medicine (28 citations), Microbiology (31 citations) and Infectious Diseases (77 citations). S Moss has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include J Chamberlain, J D Hardcastle, P A Farrands, R. Ancelle-Park, Hermann Brenner, J Melia, C R Hind, Philip M. Giffard, Matthias Maiwald and David Jordan. Their work appears in journals such as British Journal of Cancer, Australian Veterinary Journal, Postgraduate Medical Journal, Health Technology Assessment and International Journal of STD & AIDS.

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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