S. Moola

1.9k citations
7 papers · 1.1k · 1 hit paper · h-index 6

Impact in

Papers in

    • Helicobacter pylori-related gastroenterology studies 2
    • Intraperitoneal and Appendiceal Malignancies 1
    • Diagnosis and treatment of tuberculosis 1
    • Pneumonia and Respiratory Infections 2
    • Influenza Virus Research Studies 1

S. Moola

6 papers receiving 1.1k citations

S. Moola's Hit Papers

FUBAR: A Fast, Unconstrained Bayesian AppRoximation for Inferring Selection 2013 · 958 citations
9580+4+8Years since publication250500750

Peers

S. Moola
Comparison fields: 5 of 86
  • Infectious Diseases 266
  • Virology 55
  • Animal Science and Zoology 115
  • Microbiology 59
  • Endocrinology 44
Replace J. S. Teppema with:
J. S. Teppema Netherlands
Alberto López-Bueno Spain
Carles Juan‐Sallés Spain
Philipp Olias Germany
Roald Forsberg Denmark
Christian A. Tidona Germany
Sara Ciulli Italy
Mahender Singh India
Kathryn C. Gamble United States
Charles Caraguel Australia
S. Moola relative to J. S. Teppema Netherlands J. S. Teppema's profile →
Citations per field
00.5×10×17.2×
J. S. Teppema · 1×
Citations per year

Countries citing papers authored by S. Moola

Since Specialization
Citations

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

Fields of papers citing papers by S. Moola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside S. Moola, 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. Moola Line = papers co-authored together S. Moola links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
FUBAR: A Fast, Unconstrained Bayesian AppRoximation for Inferring Selection
Hit paper breakdown →
2013958
2 199565
3 200342
4 199931
5 199812
6 19947
7 20001

About S. Moola

S. Moola is a scholar working on Surgery, Epidemiology, Infectious Diseases, Small Animals and Molecular Biology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (2 papers), Pneumonia and Respiratory Infections (2 papers), Intraperitoneal and Appendiceal Malignancies (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Potassium and Related Disorders (1 paper), Amoebic Infections and Treatments (1 paper), Influenza Virus Research Studies (1 paper) and Diagnosis and treatment of tuberculosis (1 paper). The work is most often cited by research in Infectious Diseases (266 citations), Virology (55 citations), Animal Science and Zoology (115 citations), Microbiology (59 citations) and Endocrinology (44 citations). S. Moola has collaborated with scholars based in South Africa, United Kingdom and Switzerland. Frequent co-authors include Sergei L. Kosakovsky Pond, Konrad Scheffler, Ben Murrell, Daniel J. Sheward, Thomas Weighill, A. E. Simjee, Yacoob Coovadia, C Carbon, Bruno Leroy and Sangeeta Sedani. Their work appears in journals such as European Journal of Gastroenterology & Hepatology, Gastroenterology, Molecular Biology and Evolution, Clinical Microbiology and Infection and CHEST 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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