Vladimir Jojic
- Immunology top 1%
- Molecular Biology top 10%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Oncology top 10%
- Co-authors
- Cornelia L. DekkerDavid FurmanMark M. DavisDaphne KollerHolden T. MaeckerShai S. Shen-OrrCesar J. Lopez AngelTianxiang Gao
- Topics
- Genomics and Phylogenetic Studies (6 papers)vaccines and immunoinformatics approaches (6 papers)HIV Research and Treatment (5 papers)
- Cited by
- ImmunologyBiological PsychiatryAging
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Vladimir Jojic
36 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Immunology 1.7k
- Molecular Biology 1.1k
- Epidemiology 738
- Infectious Diseases 345
- Oncology 259
Countries citing papers authored by Vladimir Jojic
This map shows the geographic impact of Vladimir Jojic'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 Vladimir Jojic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Jojic more than expected).
Fields of papers citing papers by Vladimir Jojic
This network shows the impact of papers produced by Vladimir Jojic. 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 Vladimir Jojic. The network helps show where Vladimir Jojic may publish in the future.
Co-authorship network of co-authors of Vladimir Jojic
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Jojic. A scholar is included among the top collaborators of Vladimir Jojic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vladimir Jojic. Vladimir Jojic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 50 | |
| 3 | 76 | |
| 4 | 42 | |
| 5 | 164 | |
| 6 | Expression of specific inflammasome gene modules stratifies older individuals into two extreme clinical and immunological statesbreakdown → | 305 |
| 7 | Variation in the Human Immune System Is Largely Driven by Non-Heritable Influencesbreakdown → | 705 |
| 8 | 136 | |
| 9 | 2 | |
| 10 | 253 | |
| 11 | 143 | |
| 12 | 139 | |
| 13 | Deciphering the transcriptional network of the dendritic cell lineagebreakdown → | 580 |
| 14 | Convex envelopes of complexity controlling penalties: the case against premature envelopment | 12 |
| 15 | 90 | |
| 16 | Accelerated dual decomposition for MAP inference | 47 |
| 17 | 24 | |
| 18 | Using ``epitomes'' to model genetic diversity: Rational design of HIV vaccine cocktails | 14 |
| 19 | 0 | |
| 20 | 4 |
About Vladimir Jojic
Vladimir Jojic is a scholar working on Virology, Immunology and Media Technology, having authored 39 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), vaccines and immunoinformatics approaches (6 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Immunology (1.7k citations), Biological Psychiatry (99 citations) and Aging (44 citations). Vladimir Jojic has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Cornelia L. Dekker, David Furman, Mark M. Davis, Daphne Koller, Holden T. Maecker, Shai S. Shen-Orr, Cesar J. Lopez Angel, Tianxiang Gao, Tal Shay and Noah Simon. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.
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.