Jan Müller‐Berghaus

37 total papers · 1.0k total citations
25 papers, 689 citations indexed

About

Jan Müller‐Berghaus is a scholar working on Immunology, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jan Müller‐Berghaus has authored 25 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 4 papers in Hematology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jan Müller‐Berghaus's work include T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (5 papers). Jan Müller‐Berghaus is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (5 papers). Jan Müller‐Berghaus collaborates with scholars based in Germany, United States and Sweden. Jan Müller‐Berghaus's co-authors include Theresa L. Whiteside, Dirk Schadendorf, Walter J. Storkus, Thomas K. Hoffmann, Selma Ugurel, Jonas T. Johnson, Robert L. Ferris, Kari Hemminki, Sandra Bloethner and Bowang Chen and has published in prestigious journals such as Blood, Nature Reviews Drug Discovery and Cancer Research.

In The Last Decade

Jan Müller‐Berghaus

25 papers receiving 667 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jan Müller‐Berghaus	373	217	213	105	61	25	689
Uri Arad	213 0.6×	170 0.8×	110 0.5×	116 1.1×	78 1.3×	31	691
Rieko Ohta	311 0.8×	120 0.6×	127 0.6×	111 1.1×	61 1.0×	19	577
I‐Tsu Chyuan	333 0.9×	241 1.1×	147 0.7×	121 1.2×	29 0.5×	26	731
Phillip Periman	255 0.7×	147 0.7×	293 1.4×	77 0.7×	132 2.2×	26	693
Juan Jakez-Ocampo	417 1.1×	67 0.3×	153 0.7×	56 0.5×	52 0.9×	18	701
Jianhong Sun	189 0.5×	254 1.2×	157 0.7×	97 0.9×	21 0.3×	28	722
Susanne M. Scesney	406 1.1×	200 0.9×	86 0.4×	58 0.6×	106 1.7×	17	758
Muxin Yu	319 0.9×	210 1.0×	168 0.8×	37 0.4×	47 0.8×	30	682
Emilie Castermans	325 0.9×	138 0.6×	149 0.7×	81 0.8×	124 2.0×	21	623
Chad D. Walls	264 0.7×	312 1.4×	123 0.6×	56 0.5×	78 1.3×	24	700

Countries citing papers authored by Jan Müller‐Berghaus

Since Specialization

Citations

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

Fields of papers citing papers by Jan Müller‐Berghaus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Müller‐Berghaus. 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 Jan Müller‐Berghaus. The network helps show where Jan Müller‐Berghaus may publish in the future.

Co-authorship network of co-authors of Jan Müller‐Berghaus

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

All Works

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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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