David J. Hauss

8 total papers · 1.0k total citations
7 papers, 828 citations indexed

About

David J. Hauss is a scholar working on Pharmaceutical Science, Pharmacology and Small Animals. According to data from OpenAlex, David J. Hauss has authored 7 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmaceutical Science, 2 papers in Pharmacology and 1 paper in Small Animals. Recurrent topics in David J. Hauss's work include Pharmacological Effects of Natural Compounds (2 papers), Advanced Drug Delivery Systems (2 papers) and Drug Solubulity and Delivery Systems (2 papers). David J. Hauss is often cited by papers focused on Pharmacological Effects of Natural Compounds (2 papers), Advanced Drug Delivery Systems (2 papers) and Drug Solubulity and Delivery Systems (2 papers). David J. Hauss collaborates with scholars based in United States, Germany and France. David J. Hauss's co-authors include James Ficorilli, James J. Keirns, Tapon Roy, Surendra C. Mehta, Galen W. Radebaugh, Howard Y. Ando, Manisha Ramaswamy and Peter Martin and has published in prestigious journals such as Advanced Drug Delivery Reviews, International Journal of Pharmaceutics and Pharmaceutical Research.

In The Last Decade

David J. Hauss

7 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
David J. Hauss 588 158 136 134 126 7 828
Marc Lindenberg 488 0.8× 121 0.8× 231 1.7× 98 0.7× 130 1.0× 7 822
Bhagwant Rege 508 0.9× 243 1.5× 134 1.0× 275 2.1× 94 0.7× 12 945
Eduardo Jule 473 0.8× 150 0.9× 127 0.9× 137 1.0× 111 0.9× 10 705
Karen Kleberg 611 1.0× 148 0.9× 172 1.3× 214 1.6× 158 1.3× 15 954
Tiehua Huang 398 0.7× 120 0.8× 157 1.2× 87 0.6× 143 1.1× 11 720
Giovanna Corti 578 1.0× 109 0.7× 146 1.1× 69 0.5× 125 1.0× 15 785
Delphine Marchaud 814 1.4× 200 1.3× 177 1.3× 115 0.9× 153 1.2× 16 1.0k
Erik Söderlind 482 0.8× 230 1.5× 151 1.1× 114 0.9× 130 1.0× 22 1.0k
Rishikesh M. Kulkarni 499 0.8× 223 1.4× 109 0.8× 118 0.9× 50 0.4× 10 958
Konstantin Tsinman 395 0.7× 152 1.0× 233 1.7× 144 1.1× 176 1.4× 17 715

Countries citing papers authored by David J. Hauss

Since Specialization
Citations

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

Fields of papers citing papers by David J. Hauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Hauss. 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 David J. Hauss. The network helps show where David J. Hauss may publish in the future.

Co-authorship network of co-authors of David J. Hauss

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Hauss. A scholar is included among the top collaborators of David J. Hauss 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 David J. Hauss. David J. Hauss 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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