Lew Barker

799 citations
7 papers · 241 · h-index 6

Impact in

    • Tuberculosis Research and Epidemiology
    • Immune responses and vaccinations
    • Immunodeficiency and Autoimmune Disorders

Papers in

Lew Barker

7 papers receiving 234 citations

Peers

Lew Barker
Comparison fields: 5 of 55
  • Infectious Diseases 182
  • Immunology 124
  • Epidemiology 94
  • Pharmaceutical Science 7
  • Rheumatology 16
Replace J. M. Pönnighaus with:
J. M. Pönnighaus Germany
Janine Roney Australia
Maddalena Cerrone United Kingdom
George A. Diaz United States
Chao-Chien Wu Taiwan
E. Ubiña Aznar Spain
Hubert Dumann Germany
José Antonio Lluch Rodrigo Spain
Tianjun Jiang China
Camilla Ajassa Italy
Lew Barker relative to J. M. Pönnighaus Germany J. M. Pönnighaus's profile →
Citations per field
00.5×
J. M. Pönnighaus · 1×
Citations per year

Countries citing papers authored by Lew Barker

Since Specialization
Citations

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

Fields of papers citing papers by Lew Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 200877
2 201369
3 201325
4 201224
5
Controlled trials of very high dose folic acid, vitamins B12 and B6, intravenous folinic acid and serine for treatment of hyperhomocysteinemia in ESRD.
200423
6
Evaluation of an extensive tuberculosis contact investigation in an urban community and jail.
200322
7 20091

About Lew Barker

Lew Barker is a scholar working on Infectious Diseases, Epidemiology, Immunology, Pediatrics, Perinatology and Child Health and Surgery, having authored 7 papers that have together received 241 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Mycobacterium research and diagnosis (3 papers), Metabolism and Genetic Disorders (1 paper), Biosimilars and Bioanalytical Methods (1 paper), Pharmaceutical studies and practices (1 paper), Diagnosis and treatment of tuberculosis (1 paper) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Infectious Diseases (182 citations), Immunology (124 citations), Epidemiology (94 citations), Pharmaceutical Science (7 citations) and Rheumatology (16 citations). Lew Barker has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Michael J. Brennan, Luc Hessel, Barry Walker, Gregory Hussey, Jerald Sadoff, Mark Hatherill, Willem A. Hanekom, Hassan Mahomed, Michael Goetz and Francesca Little. Their work appears in journals such as Clinical and Vaccine Immunology, Tuberculosis, Vaccine, Revista Portuguesa de Pneumologia and BMJ.

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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