T Llana

468 citations
7 papers · 373 · h-index 6

Impact in

  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases

Papers in

    • Viral-associated cancers and disorders 4
    • Herpesvirus Infections and Treatments 3
    • Cytomegalovirus and herpesvirus research 3

T Llana

7 papers receiving 359 citations

Peers

T Llana
Comparison fields: 5 of 52
  • Epidemiology 234
  • Oncology 153
  • Infectious Diseases 78
  • Virology 9
  • Economics and Econometrics 54
Replace M H Gail with:
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Citations per field
00.5×3.4×
M H Gail · 1×
Citations per year

Countries citing papers authored by T Llana

Since Specialization
Citations

This map shows the geographic impact of T Llana'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 T Llana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Llana more than expected).

Fields of papers citing papers by T Llana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1988128
2 1988104
3 199887
4 199819
5
Utilization of human hematopoietic cell lines for the propagation and characterization of HBLV (human herpesvirus 6).
198917
6
Susceptibility to HIV-1 infection of a human B-lymphoblastoid cell line, DG75, transfected with subgenomic DNA fragments of Epstein-Barr virus.
199016
7
Characterization of an inhibitory factor derived from epithelial cells of the small intestine.
19932

About T Llana

T Llana is a scholar working on Oncology, Epidemiology, Surgery, Pathology and Forensic Medicine and Neurology, having authored 7 papers that have together received 373 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (4 papers), Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Intracranial Aneurysms: Treatment and Complications (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Healthcare Operations and Scheduling Optimization (1 paper) and Healthcare Policy and Management (1 paper). The work is most often cited by research in Epidemiology (234 citations), Oncology (153 citations), Infectious Diseases (78 citations), Virology (9 citations) and Economics and Econometrics (54 citations). T Llana has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Paolo Lusso, Peter Biberfeld, Dharam V. Ablashi, S. Zaki Salahuddin, Steven F. Josephs, Robert C. Gallo, Phillip D. Markham, Bernhard Kramarsky, Chia‐Ling Hung and Kevin A. Schulman. Their work appears in journals such as Health Economics, International Journal of Cancer, International Journal of Technology Assessment in Health Care, Journal of Virological Methods and PubMed.

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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