Bithi Chatterjee

3.2k total citations · 1 hit paper
15 papers, 2.5k citations indexed

About

Bithi Chatterjee is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Bithi Chatterjee has authored 15 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in Bithi Chatterjee's work include Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (6 papers) and Viral-associated cancers and disorders (5 papers). Bithi Chatterjee is often cited by papers focused on Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (6 papers) and Viral-associated cancers and disorders (5 papers). Bithi Chatterjee collaborates with scholars based in Switzerland, United States and Germany. Bithi Chatterjee's co-authors include Ira Mellman, Roberto Lande, Bernhard Homey, Jens‐Michael Schröder, Bing Su, Yong‐Jun Liu, Yi-Hong Wang, Michel Gilliet, Frank O. Nestlé and Tomasz Żal and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Blood.

In The Last Decade

Bithi Chatterjee

15 papers receiving 2.4k citations

Hit Papers

Plasmacytoid dendritic cells sense self-DNA coupled with ... 2007 2026 2013 2019 2007 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Plasmacytoid dendritic cells sense self-DNA coupled with antimicrobial peptide
    2007 1.4k citations Roberto Lande, Josh Gregorio et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bithi Chatterjee Switzerland 14 1.9k 591 406 356 314 15 2.5k
Jérémy Di Domizio Switzerland 18 1.6k 0.8× 677 1.1× 341 0.8× 222 0.6× 197 0.6× 32 2.2k
Weitao Huang United States 13 2.0k 1.1× 286 0.5× 318 0.8× 309 0.9× 492 1.6× 16 2.7k
S Hudak United States 23 1.9k 1.0× 593 1.0× 607 1.5× 226 0.6× 273 0.9× 33 3.2k
С. Н. Быковская Russia 11 1.3k 0.7× 626 1.1× 298 0.7× 120 0.3× 162 0.5× 15 2.1k
Marie‐Clotilde Rissoan France 18 3.6k 1.9× 621 1.1× 536 1.3× 177 0.5× 511 1.6× 22 4.5k
Yoshinobu Koguchi United States 31 1.7k 0.9× 401 0.7× 752 1.9× 235 0.7× 729 2.3× 67 2.8k
Catherine Massacrier France 29 5.7k 3.0× 1.1k 1.9× 1.3k 3.1× 400 1.1× 446 1.4× 40 6.5k
Liv Eidsmo Sweden 28 3.3k 1.7× 545 0.9× 481 1.2× 823 2.3× 644 2.1× 61 4.5k
Verónica García Argentina 25 1.9k 1.0× 402 0.7× 370 0.9× 304 0.9× 707 2.3× 70 2.9k
Partha S. Biswas United States 29 1.3k 0.7× 696 1.2× 296 0.7× 115 0.3× 685 2.2× 68 2.6k

Countries citing papers authored by Bithi Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Bithi Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bithi Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Bithi Chatterjee. A scholar is included among the top collaborators of Bithi Chatterjee 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 Bithi Chatterjee. Bithi Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Deng, Yun, Anita Murer, Nicole Caduff, et al.. (2024). Epstein-Barr virus infection induces tissue-resident memory T cells in mucosal lymphoid tissues. JCI Insight. 9(20). 7 indexed citations
2.
Deng, Yun, Bithi Chatterjee, Kyra D. Zens, et al.. (2021). CD27 is required for protective lytic EBV antigen–specific CD8+ T-cell expansion. Blood. 137(23). 3225–3236. 27 indexed citations
3.
Zdimerova, Hana, Anita Murer, Ana Raykova, et al.. (2020). Attenuated immune control of Epstein–Barr virus in humanized mice is associated with the multiple sclerosis risk factor HLA‐DR15. European Journal of Immunology. 51(1). 64–75. 74 indexed citations
4.
Chatterjee, Bithi, Yun Deng, Angelika Holler, et al.. (2019). CD8+ T cells retain protective functions despite sustained inhibitory receptor expression during Epstein-Barr virus infection in vivo. PLoS Pathogens. 15(5). e1007748–e1007748. 56 indexed citations
5.
Gujer, Cornelia, Bithi Chatterjee, Vanessa Landtwing, et al.. (2015). Animal models of Epstein Barr virus infection. Current Opinion in Virology. 13. 6–10. 22 indexed citations
6.
Chatterjee, Bithi, Carol S. Leung, & Christian Münz. (2014). Animal models of Epstein Barr virus infection. Journal of Immunological Methods. 410. 80–87. 26 indexed citations
7.
Antsiferova, Olga, Anne Müller, Patrick C. Rämer, et al.. (2014). Adoptive Transfer of EBV Specific CD8+ T Cell Clones Can Transiently Control EBV Infection in Humanized Mice. PLoS Pathogens. 10(8). e1004333–e1004333. 55 indexed citations
8.
Cohn, Lillian B., Bithi Chatterjee, Anna Smed‐Sörensen, et al.. (2013). Antigen delivery to early endosomes eliminates the superiority of human blood BDCA3+ dendritic cells at cross presentation. The Journal of Experimental Medicine. 210(5). 1049–1063. 155 indexed citations
9.
Leung, Carol S., Obinna Chijioke, Cornelia Gujer, et al.. (2013). Infectious diseases in humanized mice. European Journal of Immunology. 43(9). 2246–2254. 38 indexed citations
10.
Smed‐Sörensen, Anna, Cécile Chalouni, Bithi Chatterjee, et al.. (2012). Influenza A Virus Infection of Human Primary Dendritic Cells Impairs Their Ability to Cross-Present Antigen to CD8 T Cells. PLoS Pathogens. 8(3). e1002572–e1002572. 71 indexed citations
11.
Chatterjee, Bithi, Anna Smed‐Sörensen, Lillian B. Cohn, et al.. (2012). Internalization and endosomal degradation of receptor-bound antigens regulate the efficiency of cross presentation by human dendritic cells. Blood. 120(10). 2011–2020. 154 indexed citations
12.
Pucchio, Tiziana Di, Bithi Chatterjee, Anna Smed‐Sörensen, et al.. (2008). Direct proteasome-independent cross-presentation of viral antigen by plasmacytoid dendritic cells on major histocompatibility complex class I. Nature Immunology. 9(5). 551–557. 225 indexed citations
13.
Lande, Roberto, Josh Gregorio, Valeria Facchinetti, et al.. (2007). Plasmacytoid dendritic cells sense self-DNA coupled with antimicrobial peptide. Nature. 449(7162). 564–569. 1447 indexed citations breakdown →
14.
Das, Anish, et al.. (2005). Trypanosomal TBP Functions with the Multisubunit Transcription Factor tSNAP To Direct Spliced-Leader RNA Gene Expression. Molecular and Cellular Biology. 25(16). 7314–7322. 67 indexed citations
15.
Harb, Omar S., Bithi Chatterjee, Martin Fraunholz, et al.. (2004). Multiple Functionally Redundant Signals Mediate Targeting to the Apicoplast in the Apicomplexan Parasite Toxoplasma gondii. Eukaryotic Cell. 3(3). 663–674. 44 indexed citations

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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