Heinz Baumann

89 total papers · 9.6k total citations
75 papers, 8.1k citations indexed

About

Heinz Baumann is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Heinz Baumann has authored 75 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Oncology and 22 papers in Immunology. Recurrent topics in Heinz Baumann's work include Cytokine Signaling Pathways and Interactions (26 papers), Pancreatic function and diabetes (10 papers) and Immune Cell Function and Interaction (8 papers). Heinz Baumann is often cited by papers focused on Cytokine Signaling Pathways and Interactions (26 papers), Pancreatic function and diabetes (10 papers) and Immune Cell Function and Interaction (8 papers). Heinz Baumann collaborates with scholars based in United States, Germany and Poland. Heinz Baumann's co-authors include Jack Gauldie, Karen K. Morella, G P Jahreis, Meir Wetzler, Susana P. Campos, Mustafa Beneklı, Louis A. Tartaglia, Hongkyun Kim, Maria R. Baer and Carl D. Richards and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Heinz Baumann

74 papers receiving 7.8k citations

Hit Papers

The acute phase response 1994 2026 2004 2015 1994 1996 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Heinz Baumann 2.3k 2.2k 1.9k 1.4k 1.1k 75 8.1k
Raffaella Faggioni 2.4k 1.1× 1.3k 0.6× 962 0.5× 2.3k 1.6× 1.6k 1.4× 58 7.2k
Menachem Rubinstein 4.3k 1.9× 5.0k 2.3× 2.1k 1.1× 1.6k 1.1× 888 0.8× 162 10.8k
CA Dinarello 4.4k 1.9× 2.4k 1.1× 1.2k 0.6× 1.4k 1.0× 941 0.8× 72 9.8k
Thomas C. Boone 1.5k 0.7× 2.8k 1.3× 1.8k 0.9× 1.6k 1.1× 2.4k 2.1× 72 9.3k
Yasukazu Ohmoto 2.7k 1.2× 2.4k 1.1× 1.6k 0.9× 2.9k 2.0× 1.7k 1.5× 160 9.3k
Daniela Novick 3.9k 1.7× 3.4k 1.6× 1.4k 0.8× 1.3k 0.9× 560 0.5× 90 7.9k
Michael Eckhaus 2.0k 0.9× 4.8k 2.2× 1.5k 0.8× 1.3k 0.9× 1.2k 1.1× 114 10.1k
S. M. Wolff 3.7k 1.6× 2.1k 1.0× 722 0.4× 1.5k 1.0× 651 0.6× 66 8.2k
Barbara Sherry 4.4k 2.0× 3.2k 1.4× 2.0k 1.1× 1.2k 0.8× 1.1k 0.9× 116 10.0k
Antonio La Cava 5.2k 2.3× 1.4k 0.7× 1.0k 0.5× 2.3k 1.6× 1.4k 1.2× 159 9.8k

Countries citing papers authored by Heinz Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Heinz Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heinz Baumann

This figure shows the co-authorship network connecting the top 25 collaborators of Heinz Baumann. A scholar is included among the top collaborators of Heinz Baumann 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 Heinz Baumann. Heinz Baumann 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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