Baca Chan

510 citations
15 papers · 410 · h-index 8

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

    • interferon and immune responses 8
    • Immune Cell Function and Interaction 4
    • Cytomegalovirus and herpesvirus research 9
    • Herpesvirus Infections and Treatments 6

Baca Chan

15 papers receiving 406 citations

Peers

Baca Chan
Comparison fields: 5 of 44
  • Immunology 278
  • Epidemiology 203
  • Infectious Diseases 108
  • Parasitology 32
  • Oncology 90
Replace Marius Döring with:
Marius Döring Germany
Markus Stempel Germany
Huifang Zhu China
Ingvild Bjellmo Johnsen Norway
Srividya Ramachandran United States
Guoxin Ni United States
Ildar Gabaev Germany
Coralie F. Daussy France
Qi Wen Teo United States
Erik M. Lenarcic United States
Baca Chan relative to Marius Döring Germany Marius Döring's profile →
Citations per field
00.5×1.5×2×2.5×
Marius Döring · 1×
Citations per year

Countries citing papers authored by Baca Chan

Since Specialization
Citations

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

Fields of papers citing papers by Baca Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016144
2 201985
3 201952
4 201328
5 201724
6 202021
7 201820
8 202012
9 20217
10 20235
11 20205
12 20203
13 20212
14
Molecular and functional consequences of immune-mediated evolution in HIV-1 Nef during the North American epidemic.
20111
15 20241

About Baca Chan

Baca Chan is a scholar working on Immunology, Epidemiology, Virology, Oncology and Parasitology, having authored 15 papers that have together received 410 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (9 papers), interferon and immune responses (8 papers), Herpesvirus Infections and Treatments (6 papers), Immune Cell Function and Interaction (4 papers), Viral-associated cancers and disorders (3 papers), CRISPR and Genetic Engineering (1 paper), Rabies epidemiology and control (1 paper) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Immunology (278 citations), Epidemiology (203 citations), Infectious Diseases (108 citations), Parasitology (32 citations) and Oncology (90 citations). Baca Chan has collaborated with scholars based in Germany, Australia and Croatia. Frequent co-authors include Melanie M. Brinkmann, Markus Stempel, Bizunesh Abere, Anna Buch, Andreas Pich, Guigen Zhang, Magdalena Weidner-Glunde, Thomas Friedrich Schulz, Vanda Juranić Lisnić and Niels A. W. Lemmermann. Their work appears in journals such as PLoS Pathogens, Journal of Virology, Journal of General Virology, Journal of Cell Science and Medical Microbiology and Immunology.

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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