Tatjana Dragic

9.6k citations
44 papers · 8.0k indexed · 2 hit papers · h-index 34

Tatjana Dragic

44 papers receiving 7.8k citations

Hit Papers

CD4-dependent, antibody-sensitive interactions between HI...922199620262006201650010001.5k2.0k2.5k

Peers

Tatjana Dragic
Comparison fields: 5 of 108
  • Virology 5.5k
  • Immunology 4.0k
  • Hepatology 1.2k
  • Infectious Diseases 2.4k
  • Radiology, Nuclear Medicine and Imaging 1.1k
Replace Benjamin J. Doranz with:
Benjamin J. Doranz United States
Paul J. Maddon United States
William A. Paxton Netherlands
Sunny Choe United States
Yutaka Takebe Japan
Anthony L. DeVico United States
Kalle Saksela Finland
Masafumi Takiguchi Japan
Denise Guétard France
Lijun Wu United States
Tatjana Dragic relative to Benjamin J. Doranz United States Benjamin J. Doranz's profile →
Citations per field
00.5×3.0×
Benjamin J. Doranz · 1×
Citations per year

Countries citing papers authored by Tatjana Dragic

Since Specialization
Citations

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

Fields of papers citing papers by Tatjana Dragic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 201115
3 2010126
4 200959
5 200762
6 200637
7 200699
8 2002204
9 200189
10 200051
11 2000353
12 1999196
13 1998134
14 1997415
15 199630
16
HIV-1 entry into CD4+ cells is mediated by the chemokine receptor CC-CKR-5breakdown →
19962625
17
CD4-dependent, antibody-sensitive interactions between HIV-1 and its co-receptor CCR-5breakdown →
1996922
18 199338
19 1992124
20
[Demonstration of an engagement process towards cell death by apoptosis in lymphocytes of HIV infected patients].
199143

About Tatjana Dragic

Tatjana Dragic is a scholar working on Virology, Hepatology and Immunology, having authored 44 papers that have together received 8.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (31 papers), Immune Cell Function and Interaction (23 papers), HIV/AIDS drug development and treatment (13 papers), Hepatitis C virus research (11 papers), T-cell and B-cell Immunology (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Virology (5.5k citations), Immunology (4.0k citations) and Hepatology (1.2k citations). Tatjana Dragic has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Paul J. Maddon, John P. Moore, Graham P. Allaway, Alexandra Trkola, Kirsten Nagashima, Emmanuel Cormier, William A. Paxton, Richard A. Koup, William C. Olson and JOHN P. MOORE. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Virology, Nature and Journal of General Virology.

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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