Tania Botha

913 citations
10 papers · 727 · h-index 9

Impact in

    • Tuberculosis Research and Epidemiology
  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • Tuberculosis Research and Epidemiology 10
    • Mycobacterium research and diagnosis 7
    • Cytomegalovirus and herpesvirus research 1

Tania Botha

10 papers receiving 709 citations

Peers

Tania Botha
Comparison fields: 5 of 68
  • Infectious Diseases 497
  • Immunology 312
  • Epidemiology 410
  • Molecular Medicine 33
  • Microbiology 28
Replace Seok-Yong Eum with:
Seok-Yong Eum South Korea
Tatiana Kondratieva Russia
Lydia Pradl Germany
Sadhana Chitale United States
Marc A. Keen United States
Jérôme Nigou France
Ryhor Harbacheuski United States
Luciana Balboa Argentina
Silke Bandermann Germany
Constance J. Martin United States
Tania Botha relative to Seok-Yong Eum South Korea Seok-Yong Eum's profile →
Citations per field
00.5×1.5×
Seok-Yong Eum · 1×
Citations per year

Countries citing papers authored by Tania Botha

Since Specialization
Citations

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

Fields of papers citing papers by Tania Botha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2004218
2 2004168
3 2003119
4 200773
5 200551
6 200231
7 200727
8 200922
9 200610
10 20048

About Tania Botha

Tania Botha is a scholar working on Infectious Diseases, Epidemiology, Surgery, Immunology and Molecular Biology, having authored 10 papers that have together received 727 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (7 papers), Infectious Diseases and Tuberculosis (3 papers), Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (497 citations), Immunology (312 citations), Epidemiology (410 citations), Molecular Medicine (33 citations) and Microbiology (28 citations). Tania Botha has collaborated with scholars based in South Africa, France and Ethiopia. Frequent co-authors include Bernhard Ryffel, Muazzam Jacobs, Shreemanta K. Parida, Ernesto J. Muñoz‐Elías, John D. McKinney, Wai-Tsing Chan, James Gomez, Juliano Timm, Valérie Quesniaux and Marc Le Bert. Their work appears in journals such as Infection and Immunity, Microbes and Infection, The Journal of Immunology, Immunology and Tuberculosis.

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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