Michael J. Haas

9.4k citations
231 papers · 7.3k indexed · 1 hit paper · h-index 43

Michael J. Haas

219 papers receiving 6.8k citations

Hit Papers

A process model to estimate biodiesel production costs8872005202620122019250500750

Peers

Michael J. Haas
Comparison fields: 5 of 186
  • Fluid Flow and Transfer Processes 751
  • Biomedical Engineering 2.9k
  • Biochemistry 331
  • Molecular Biology 3.1k
  • Endocrinology, Diabetes and Metabolism 638
Replace Yong Wang with:
Yong Wang China
Bin Li China
Arunachalam Chinnathambi Saudi Arabia
Yang Liu China
Ashok Kumar India
Ho‐Chul Shin South Korea
Fei Wang China
Guocheng Du China
Yuhao Zhang China
A.A. Karim Malaysia
Michael J. Haas relative to Yong Wang China Yong Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael J. Haas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Michael J. Haas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael J. Haas Line = papers co-authored together Michael J. Haas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20240
4 20234
5 202211
6 201914
7 20199
8 20175
9 201511
10 20144
11 201311
12
Electrochemical measurements and short-term-in-situ exposure testing
20122
13 20120
14 20085
15 200613
16 20006
17 200035
18
Arbeitsmärkte im Vergleich : Rigidität und Flexibilität auf den Arbeitsmärkten der USA, Japans und der BRD
19992
19 199157
20 1975283

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), Microbial Metabolic Engineering and Bioproduction (24 papers), Lipid metabolism and biosynthesis (21 papers), Endoplasmic Reticulum Stress and Disease (20 papers), Peroxisome Proliferator-Activated Receptors (15 papers), Cholesterol and Lipid Metabolism (14 papers) and Lipoproteins and Cardiovascular Health (13 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.

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