M. Kronenberg

744 total citations
9 papers, 585 citations indexed

About

M. Kronenberg is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, M. Kronenberg has authored 9 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in M. Kronenberg's work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (3 papers). M. Kronenberg is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (3 papers). M. Kronenberg collaborates with scholars based in United States, Italy and Denmark. M. Kronenberg's co-authors include Huynh‐Hoa Bui, John Sidney, Ralph T. Kubo, S Stewart, Bjoern Peters, David Nemazee, Søren Buus, Julia Ponomarenko, Ward Fleri and Alessandro Sette and has published in prestigious journals such as PLoS ONE, PLoS Biology and Journal of Leukocyte Biology.

In The Last Decade

M. Kronenberg

9 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Kronenberg United States	7	332	315	132	132	56	9	585
Claudine Guérin-Marchand France	15	321 1.0×	427 1.4×	80 0.6×	63 0.5×	12 0.2×	21	902
Ryan Tassone United States	12	211 0.6×	212 0.7×	98 0.7×	128 1.0×	13 0.2×	14	429
A Sette United States	7	311 0.9×	462 1.5×	62 0.5×	212 1.6×	13 0.2×	8	649
Prasida Holla United States	11	196 0.6×	298 0.9×	84 0.6×	28 0.2×	89 1.6×	14	623
D. M. Doran Switzerland	6	278 0.8×	467 1.5×	75 0.6×	172 1.3×	12 0.2×	8	738
S Gamble United States	10	214 0.6×	747 2.4×	116 0.9×	93 0.7×	11 0.2×	10	881
Detlef Stober Germany	9	123 0.4×	440 1.4×	139 1.1×	43 0.3×	56 1.0×	9	563
Marie-Louise Michel France	8	245 0.7×	361 1.1×	287 2.2×	44 0.3×	129 2.3×	12	678
Jacob D. Galson United Kingdom	15	364 1.1×	460 1.5×	112 0.8×	350 2.7×	15 0.3×	27	827
Laura Zarebski Argentina	7	487 1.5×	281 0.9×	129 1.0×	260 2.0×	21 0.4×	7	697

Countries citing papers authored by M. Kronenberg

Since Specialization

Citations

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

Fields of papers citing papers by M. Kronenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kronenberg

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

All Works

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9 of 9 papers shown

1.

Zhou, Wenbo, Valeria Orrù, Stephanie M. Stanford, et al.. (2014). Autoimmunity-Associated LYP-W620 Does Not Impair Thymic Negative Selection of Autoreactive T Cells. PLoS ONE. 9(2). e86677–e86677. 19 indexed citations

2.

Yang, G-X, Ling Lü, Koichi Tsuneyama, et al.. (2013). Escherichia coliinfection induces autoimmune cholangitis and anti-mitochondrial antibodies in non-obese diabetic (NOD).B6 (Idd10/Idd18) mice. Clinical & Experimental Immunology. 175(2). 192–201. 54 indexed citations

3.

Sireci, Guido, Marco Pio La Manna, Caterina Di Sano, et al.. (2006). Pivotal Advance: α-Galactosylceramide induces protection against lipopolysaccharide-induced shock. Journal of Leukocyte Biology. 81(3). 607–622. 23 indexed citations

4.

Peters, Bjoern, John Sidney, Phil Bourne, et al.. (2005). The design and implementation of the immune epitope database and analysis resource. Immunogenetics. 57(5). 326–336. 94 indexed citations

5.

Peters, Bjoern, John Sidney, Phil Bourne, et al.. (2005). The Immune Epitope Database and Analysis Resource: From Vision to Blueprint. PLoS Biology. 3(3). e91–e91. 301 indexed citations

6.

Degano, Massimo, et al.. (2004). Crystal structure of mouse CD1d with a phospholipid self ligand: insights in the molecular basis of regulatory NKT cell activation. Acta Crystallographica Section A Foundations of Crystallography. 60(a1). s146–s146. 2 indexed citations

7.

Szalay, Gudrun, C. Ladel, C Blum, et al.. (1999). Cutting edge: anti-CD1 monoclonal antibody treatment reverses the production patterns of TGF-beta 2 and Th1 cytokines and ameliorates listeriosis in mice.. PubMed. 162(12). 6955–8. 72 indexed citations

8.

Hays, Esther F., Greg Bristol, Skye McDougall, Joan L. Klotz, & M. Kronenberg. (1989). Development of lymphoma in the thymus of AKR mice treated with the lymphomagenic virus SL 3-3.. PubMed. 49(15). 4225–30. 15 indexed citations

9.

Hood, L, et al.. (1982). Antibody and MHC genes.. PubMed. 4(1-2). 61–79. 5 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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