Davide F. Robbiani

20.0k total citations · 4 hit papers
48 papers, 7.2k citations indexed

About

Davide F. Robbiani is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Davide F. Robbiani has authored 48 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Immunology and 17 papers in Oncology. Recurrent topics in Davide F. Robbiani's work include DNA Repair Mechanisms (17 papers), T-cell and B-cell Immunology (14 papers) and Immune Cell Function and Interaction (12 papers). Davide F. Robbiani is often cited by papers focused on DNA Repair Mechanisms (17 papers), T-cell and B-cell Immunology (14 papers) and Immune Cell Function and Interaction (12 papers). Davide F. Robbiani collaborates with scholars based in United States, Cuba and Switzerland. Davide F. Robbiani's co-authors include Michel C. Nussenzweig, William A. Müller, Gwendalyn J. Randolph, Anne Bothmer, André Nussenzweig, Ralph M. Steinman, Rafael Casellas, Kayo Inaba, Mila Janković and Anna Gazumyan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Davide F. Robbiani

48 papers receiving 7.2k citations

Hit Papers

align trajectories sort by overperformance

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.

SARS-CoV-2 neutralizing antibody structures inform therapeutic strategies

2020 832 citations Davide F. Robbiani, Michel C. Nussenzweig et al. Nature profile →
Differentiation of Phagocytic Monocytes into Lymph Node Dendritic Cells In Vivo

1999 707 citations Gwendalyn J. Randolph, Kayo Inaba et al. Immunity profile →
Enhanced SARS-CoV-2 neutralization by dimeric IgA

2020 294 citations Julio C. C. Lorenzi, Frauke Muecksch et al. profile →
Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies

2021 205 citations Fabian Schmidt, Marianna Agudelo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davide F. Robbiani United States	34	3.8k	2.7k	1.4k	1.4k	700	48	7.2k
Wilfried Ellmeier Austria	39	2.7k 0.7×	4.6k 1.7×	1.1k 0.8×	1.3k 0.9×	563 0.8×	95	8.0k
Hans‐Martin Jäck Germany	43	2.7k 0.7×	2.3k 0.8×	1.7k 1.2×	582 0.4×	674 1.0×	154	6.5k
Roland Rad Germany	41	3.4k 0.9×	2.8k 1.0×	485 0.3×	1.4k 1.0×	769 1.1×	136	7.6k
Scott D. Boyd United States	41	2.2k 0.6×	3.2k 1.2×	702 0.5×	1.1k 0.8×	316 0.5×	119	6.7k
Akifumi Takaori‐Kondo Japan	42	2.3k 0.6×	1.9k 0.7×	825 0.6×	1.2k 0.9×	458 0.7×	288	5.8k
Marion Subklewe Germany	42	2.6k 0.7×	3.9k 1.4×	660 0.5×	3.8k 2.7×	271 0.4×	167	8.4k
Angela Granelli‐Piperno United States	39	1.6k 0.4×	3.8k 1.4×	837 0.6×	759 0.5×	952 1.4×	67	7.0k
William V. Williams United States	40	2.2k 0.6×	2.3k 0.9×	877 0.6×	973 0.7×	168 0.2×	159	6.1k
Robert M. Hershberg United States	40	2.6k 0.7×	3.6k 1.3×	503 0.4×	1.2k 0.8×	792 1.1×	78	7.3k
Ian C. M. MacLennan United Kingdom	54	2.2k 0.6×	8.8k 3.3×	652 0.5×	1.4k 1.0×	846 1.2×	99	12.0k

Countries citing papers authored by Davide F. Robbiani

Since Specialization

Citations

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

Fields of papers citing papers by Davide F. Robbiani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davide F. Robbiani. 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 Davide F. Robbiani. The network helps show where Davide F. Robbiani may publish in the future.

Co-authorship network of co-authors of Davide F. Robbiani

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

All Works

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20 of 20 papers shown

Jiang, Caroline S., Avery Peace, Marianna Agudelo, et al.. (2024). Prevalence of Powassan Virus Seropositivity Among People with History of Lyme Disease and Non-Lyme Community Controls in the Northeastern United States. Vector-Borne and Zoonotic Diseases. 24(4). 226–236. 1 indexed citations

Svoboda, Pavel, Jan Haviernik, Milos Matkovic, et al.. (2023). A combination of two resistance mechanisms is critical for tick-borne encephalitis virus escape from a broadly neutralizing human antibody. Cell Reports. 42(9). 113149–113149. 5 indexed citations

Schäfer, Alexandra, Frauke Muecksch, Julio C. C. Lorenzi, et al.. (2020). Antibody potency, effector function, and combinations in protection and therapy for SARS-CoV-2 infection in vivo. The Journal of Experimental Medicine. 218(3). 157 indexed citations

Casellas, Rafael, Uttiya Basu, William T. Yewdell, et al.. (2016). Mutations, kataegis and translocations in B cells: understanding AID promiscuous activity. Nature reviews. Immunology. 16(3). 164–176. 131 indexed citations

Wang, Qiao, Kyong-Rim Kieffer-Kwon, Thiago Y. Oliveira, et al.. (2016). The cell cycle restricts activation-induced cytidine deaminase activity to early G1. The Journal of Experimental Medicine. 214(1). 49–58. 54 indexed citations

Robbiani, Davide F., Stephanie Deroubaix, Niklas Feldhahn, et al.. (2015). Plasmodium Infection Promotes Genomic Instability and AID-Dependent B Cell Lymphoma. Cell. 162(4). 727–737. 105 indexed citations

Dong, Junchao, Rohit A. Panchakshari, Tingting Zhang, et al.. (2015). Orientation-specific joining of AID-initiated DNA breaks promotes antibody class switching. Nature. 525(7567). 134–139. 80 indexed citations

Yébenes, Virginia G. de, Rubén Nogales‐Cadenas, Pablo Pérez‐Durán, et al.. (2014). miR-217 is an oncogene that enhances the germinal center reaction. Blood. 124(2). 229–239. 49 indexed citations

Virgilio, Michela Di, Elsa Callén, Arito Yamane, et al.. (2013). Rif1 Prevents Resection of DNA Breaks and Promotes Immunoglobulin Class Switching. Science. 339(6120). 711–715. 309 indexed citations

10.

Rommel, Philipp C., David Bosque, Alexander D. Gitlin, et al.. (2013). Fate Mapping for Activation-Induced Cytidine Deaminase (AID) Marks Non-Lymphoid Cells During Mouse Development. PLoS ONE. 8(7). e69208–e69208. 21 indexed citations

11.

Yamane, Arito, Davide F. Robbiani, Wolfgang Resch, et al.. (2013). RPA Accumulation during Class Switch Recombination Represents 5′–3′ DNA-End Resection during the S–G2/M Phase of the Cell Cycle. Cell Reports. 3(1). 138–147. 79 indexed citations

12.

Janković, Mila, Niklas Feldhahn, Thiago Y. Oliveira, et al.. (2013). 53BP1 Alters the Landscape of DNA Rearrangements and Suppresses AID-Induced B Cell Lymphoma. Molecular Cell. 49(4). 623–631. 31 indexed citations

13.

Bothmer, Anne, Davide F. Robbiani, Michela Di Virgilio, et al.. (2011). Regulation of DNA End Joining, Resection, and Immunoglobulin Class Switch Recombination by 53BP1. Molecular Cell. 42(3). 319–329. 186 indexed citations

14.

Robbiani, Davide F., Samuel F. Bunting, Niklas Feldhahn, et al.. (2009). AID Produces DNA Double-Strand Breaks in Non-Ig Genes and Mature B Cell Lymphomas with Reciprocal Chromosome Translocations. Molecular Cell. 36(4). 631–641. 197 indexed citations

15.

Chesi, Marta, Davide F. Robbiani, Michaël Sébag, et al.. (2008). AID-Dependent Activation of a MYC Transgene Induces Multiple Myeloma in a Conditional Mouse Model of Post-Germinal Center Malignancies. Cancer Cell. 13(2). 167–180. 259 indexed citations

16.

Dorsett, Yair, Davide F. Robbiani, Mila Janković, et al.. (2007). A role for AID in chromosome translocations between c-myc and the IgH variable region. The Journal of Experimental Medicine. 204(10). 2491–2491. 1 indexed citations

17.

McBride, Kevin M., Anna Gazumyan, Eileen M. Woo, et al.. (2006). Regulation of hypermutation by activation-induced cytidine deaminase phosphorylation. Proceedings of the National Academy of Sciences. 103(23). 8798–8803. 117 indexed citations

18.

Beaulieu, Sylvie, Davide F. Robbiani, Elaine G. Rodrigues, et al.. (2002). Expression of a Functional Eotaxin (CC Chemokine Ligand 11) Receptor CCR3 by Human Dendritic Cells. The Journal of Immunology. 169(6). 2925–2936. 56 indexed citations

19.

Robbiani, Davide F., Rick A. Finch, Dirk Jäger, et al.. (2000). The Leukotriene C4 Transporter MRP1 Regulates CCL19 (MIP-3β, ELC)–Dependent Mobilization of Dendritic Cells to Lymph Nodes. Cell. 103(5). 757–768. 373 indexed citations

20.

Randolph, Gwendalyn J., Kayo Inaba, Davide F. Robbiani, Ralph M. Steinman, & William A. Müller. (1999). Differentiation of Phagocytic Monocytes into Lymph Node Dendritic Cells In Vivo. Immunity. 11(6). 753–761. 707 indexed citations breakdown →

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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