Sam Ogwang

568 citations
18 papers · 441 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 15
    • Mycobacterium research and diagnosis 9
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • Pneumonia and Respiratory Infections 1

Sam Ogwang

18 papers receiving 430 citations

Peers

Sam Ogwang
Comparison fields: 5 of 65
  • Infectious Diseases 282
  • Molecular Medicine 35
  • Epidemiology 195
  • Molecular Biology 145
  • Microbiology 12
Replace Urszula Nawrot with:
Urszula Nawrot Poland
Elena Orsetti Italy
Bénédicte Rognon France
Lingbing Zeng China
Brittany B. Lewis United States
Bliss A. Cunningham Australia
Elsa M. Mamizuka Brazil
Marisa Zenaide Ribeiro Gomes Brazil
Kinuyo Chikamatsu Japan
Robert S. Liao Canada
Sam Ogwang relative to Urszula Nawrot Poland Urszula Nawrot's profile →
Citations per field
00.5×2.7×
Urszula Nawrot · 1×
Citations per year

Countries citing papers authored by Sam Ogwang

Since Specialization
Citations

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

Fields of papers citing papers by Sam Ogwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201084
2 200957
3 201356
4 200854
5 200744
6 201631
7 201121
8 201318
9 201516
10 200913
11 201512
12 20159
13 20158
14 20155
15 20194
16 20154
17
Impact of directly observed sputum collection on sputum culture contamination rates.
20113
18 20182

About Sam Ogwang

Sam Ogwang is a scholar working on Infectious Diseases, Epidemiology, Surgery, Rheumatology and Molecular Medicine, having authored 18 papers that have together received 441 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (9 papers), Folate and B Vitamins Research (2 papers), Antibiotic Resistance in Bacteria (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Pleural and Pulmonary Diseases (1 paper), Infectious Diseases and Tuberculosis (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Infectious Diseases (282 citations), Molecular Medicine (35 citations), Epidemiology (195 citations), Molecular Biology (145 citations) and Microbiology (12 citations). Sam Ogwang has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Liem Nguyen, Hoa Nguyen, Kerstin Wolff, Moses Joloba, Kathleen D. Eisenach, Ruth McNerney, Jerrold J. Ellner, Edward C. Jones‐López, Ajay Vir Singh and W. Henry Boom. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The International Journal of Tuberculosis and Lung Disease, BMC Infectious Diseases, Journal of Clinical Microbiology and Diagnostic Microbiology and Infectious Disease.

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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