Michael J. Haas
- Molecular Biology top 2%
- Biomedical Engineering top 0.5%
- Mechanical Engineering top 2%
- Fluid Flow and Transfer Processes top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Arshag D. MooradianThomas A. FogliaKaren M. ScottWinnie YeeAndrew J. McAloonNorman C.W. WongJohn E. DowdingWilliam N. Marmer
- Topics
- Enzyme Catalysis and Immobilization (49 papers)Biodiesel Production and Applications (28 papers)Microbial Metabolic Engineering and Bioproduction (24 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael J. Haas
219 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Molecular Biology 3.1k
- Biomedical Engineering 2.9k
- Mechanical Engineering 960
- Fluid Flow and Transfer Processes 751
- Endocrinology, Diabetes and Metabolism 638
Countries citing papers authored by Michael J. Haas
This map shows the geographic impact of Michael J. 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 Michael J. Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Haas more than expected).
Fields of papers citing papers by Michael J. Haas
This network shows the impact of papers produced by Michael J. 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 Michael J. Haas. The network helps show where Michael J. Haas may publish in the future.
Co-authorship network of co-authors of Michael J. Haas
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Haas. A scholar is included among the top collaborators of Michael J. 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 Michael J. Haas. Michael J. Haas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | Electrochemical measurements and short-term-in-situ exposure testing | 2 |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 6 | |
| 17 | 35 | |
| 18 | Arbeitsmärkte im Vergleich : Rigidität und Flexibilität auf den Arbeitsmärkten der USA, Japans und der BRD | 2 |
| 19 | 57 | |
| 20 | 283 |
About Michael J. Haas
Michael J. Haas is a scholar working on Biochemistry, Clinical Biochemistry and Cell Biology, having authored 231 papers that have together received 7.3k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (49 papers), Biodiesel Production and Applications (28 papers) and Microbial Metabolic Engineering and Bioproduction (24 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (751 citations), Biomedical Engineering (2.9k citations) and Biochemistry (331 citations). Michael J. Haas has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Arshag D. Mooradian, Thomas A. Foglia, Karen M. Scott, Winnie Yee, Andrew J. McAloon, Norman C.W. Wong, John E. Dowding, William N. Marmer, Pierre Villeneuve and Jean Graille. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.