Diana Haas

161 total papers · 949 total citations
31 papers, 742 citations indexed

About

Diana Haas is a scholar working on Organic Chemistry, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Diana Haas has authored 31 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 3 papers in Molecular Biology and 3 papers in Materials Chemistry. Recurrent topics in Diana Haas's work include Catalytic Cross-Coupling Reactions (16 papers), Catalytic C–H Functionalization Methods (14 papers) and Coordination Chemistry and Organometallics (4 papers). Diana Haas is often cited by papers focused on Catalytic Cross-Coupling Reactions (16 papers), Catalytic C–H Functionalization Methods (14 papers) and Coordination Chemistry and Organometallics (4 papers). Diana Haas collaborates with scholars based in Germany, United States and France. Diana Haas's co-authors include Paul Knochel, Jeffrey M. Hammann, Robert Greiner, Ferdinand H. Lutter, Marc Mosrin, Regina M. Murphy, Tobias D. Blümke, Andreas Unsinn, Paul Knochel and Konstantin Karaghiosoff and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and ACS Catalysis.

In The Last Decade

Diana Haas

26 papers receiving 724 citations

Author Peers

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

Author Last Decade Papers Cites
Diana Haas 668 66 66 32 27 31 742
Zhiqiang Wang 632 0.9× 61 0.9× 74 1.1× 23 0.7× 50 1.9× 29 673
Haoyi Chen 646 1.0× 51 0.8× 87 1.3× 24 0.8× 31 1.1× 29 704
Susanne Kiau 765 1.1× 115 1.7× 35 0.5× 32 1.0× 39 1.4× 24 855
John P. Gilday 659 1.0× 126 1.9× 124 1.9× 21 0.7× 19 0.7× 29 728
Mauro Mato 705 1.1× 38 0.6× 146 2.2× 27 0.8× 38 1.4× 27 781
Nilufa Khatun 775 1.2× 54 0.8× 103 1.6× 19 0.6× 25 0.9× 26 798
Cecilia Gómez 686 1.0× 95 1.4× 132 2.0× 27 0.8× 50 1.9× 43 735
Haruka Shimizu 588 0.9× 102 1.5× 162 2.5× 33 1.0× 29 1.1× 19 642
Pradip Maity 602 0.9× 181 2.7× 85 1.3× 28 0.9× 23 0.9× 43 689
Shengfei Jin 635 1.0× 72 1.1× 82 1.2× 62 1.9× 29 1.1× 22 697

Countries citing papers authored by Diana Haas

Since Specialization
Citations

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

Fields of papers citing papers by Diana Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Haas

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