Michael J. Haas

9.4k total citations · 1 hit paper
231 papers, 7.3k citations indexed

About

Michael J. Haas is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Michael J. Haas has authored 231 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 39 papers in Surgery and 31 papers in Cell Biology. Recurrent topics in Michael J. Haas's work include Enzyme Catalysis and Immobilization (49 papers), Biodiesel Production and Applications (28 papers) and Microbial Metabolic Engineering and Bioproduction (24 papers). Michael J. Haas is often cited by papers focused on Enzyme Catalysis and Immobilization (49 papers), Biodiesel Production and Applications (28 papers) and Microbial Metabolic Engineering and Bioproduction (24 papers). Michael J. Haas collaborates with scholars based in United States, Canada and Germany. Michael J. Haas's 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 and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael J. Haas

219 papers receiving 6.8k citations

Hit Papers

A process model to estimate biodiesel production costs 2005 2026 2012 2019 2005 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A process model to estimate biodiesel production costs
    2005 887 citations Michael J. Haas et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael J. Haas United States 43 3.1k 2.9k 960 751 638 231 7.3k
Yong Wang China 51 2.4k 0.8× 2.0k 0.7× 958 1.0× 185 0.2× 319 0.5× 304 8.5k
Bin Li China 70 3.2k 1.0× 1.4k 0.5× 176 0.2× 49 0.1× 185 0.3× 602 17.3k
Arunachalam Chinnathambi Saudi Arabia 39 2.6k 0.8× 808 0.3× 150 0.2× 126 0.2× 104 0.2× 285 6.5k
Yang Liu China 49 3.2k 1.0× 808 0.3× 205 0.2× 20 0.0× 314 0.5× 416 9.8k
Yuhao Zhang China 54 2.8k 0.9× 1.2k 0.4× 225 0.2× 31 0.0× 69 0.1× 351 10.1k
Guocheng Du China 71 15.9k 5.1× 4.8k 1.6× 244 0.3× 18 0.0× 242 0.4× 854 24.0k
Fei Wang China 44 2.2k 0.7× 2.3k 0.8× 298 0.3× 29 0.0× 90 0.1× 291 6.8k
Ho‐Chul Shin South Korea 40 1.7k 0.5× 551 0.2× 176 0.2× 38 0.1× 95 0.1× 226 5.9k
Bing Hu China 52 2.1k 0.7× 737 0.3× 333 0.3× 17 0.0× 267 0.4× 258 9.1k
Ashok Kumar India 49 2.2k 0.7× 1.2k 0.4× 272 0.3× 22 0.0× 122 0.2× 355 8.0k

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 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

20 of 20 papers shown
1.
Mooradian, Arshag D. & Michael J. Haas. (2025). Role of Thyroid Hormone in Neurodegenerative Disorders of Older People. Cells. 14(2). 140–140. 2 indexed citations
2.
Haas, Michael J., Christoph Spurk, Alexander Olowinsky, et al.. (2025). Avoiding the formation of pores during laser welding of copper hairpins by dynamic beam shaping. The International Journal of Advanced Manufacturing Technology. 137(5-6). 2257–2266. 2 indexed citations
3.
Haas, Michael J., Volkher Onuseit, John Powell, et al.. (2024). Improving the weld seam quality in laser welding processes by means of Bayesian optimization. Procedia CIRP. 124. 772–775.
4.
Gupta, Nidhi, et al.. (2023). Omega-3 Fatty Acids Inhibit Endoplasmic Reticulum (ER) Stress in Human Coronary Artery Endothelial Cells. Journal of Food Biochemistry. 2023. 1–8. 4 indexed citations
5.
Mooradian, Arshag D. & Michael J. Haas. (2022). Endoplasmic reticulum stress: A common pharmacologic target of cardioprotective drugs. European Journal of Pharmacology. 931. 175221–175221. 11 indexed citations
6.
Mooradian, Arshag D., et al.. (2019). Naturally occurring rare sugars are free radical scavengers and can ameliorate endoplasmic reticulum stress. International Journal for Vitamin and Nutrition Research. 90(3-4). 210–220. 14 indexed citations
7.
Haas, Michael J., et al.. (2019). Inhibition of Pro-Inflammatory Cytokine Secretion by Select Antioxidants in Human Coronary Artery Endothelial Cells. International Journal for Vitamin and Nutrition Research. 90(1-2). 103–112. 9 indexed citations
8.
Haas, Michael J., et al.. (2017). High-Throughput Analysis Identifying Drugs That Regulate Apolipoprotein A-I Synthesis. Assay and Drug Development Technologies. 15(8). 362–371. 5 indexed citations
9.
Mooradian, Arshag D. & Michael J. Haas. (2015). Targeting High-Density Lipoproteins: Increasing De Novo Production Versus Decreasing Clearance. Drugs. 75(7). 713–722. 11 indexed citations
10.
Haas, Michael J., et al.. (2014). Induction of apolipoprotein A-I gene expression by black seed ( Nigella sativa ) extracts. Pharmaceutical Biology. 52(9). 1119–1127. 4 indexed citations
11.
Wong, Norman C.W., et al.. (2013). Inhibition of Apolipoprotein A‐I Expression by TNF‐Alpha in HepG2 Cells: Requirement for c‐jun. Journal of Cellular Biochemistry. 115(2). 253–260. 11 indexed citations
12.
Haas, Michael J., et al.. (2012). Electrochemical measurements and short-term-in-situ exposure testing. NOVA (University of Newcastle Australia). 2 indexed citations
13.
Haas, Michael J., et al.. (2012). Gestaltung von globalen Produktionsnetzwerken. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 107(4). 250–255.
14.
Reinhart, Günther, et al.. (2008). Monetäre Bewertung von Produktionssystemen. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 103(12). 845–850. 5 indexed citations
15.
Mooradian, Arshag D., et al.. (2006). Ascorbic acid and α-tocopherol down-regulate apolipoprotein A-I gene expression in HepG2 and Caco-2 cell lines. Metabolism. 55(2). 159–167. 13 indexed citations
16.
17.
Pitot, Henry C., et al.. (2000). Review article: the stages of gastrointestinal carcinogenesis – application of rodent models to human disease. Alimentary Pharmacology & Therapeutics. 14(s1). 153–160. 35 indexed citations
18.
Ganßmann, Heiner & Michael J. Haas. (1999). Arbeitsmärkte im Vergleich : Rigidität und Flexibilität auf den Arbeitsmärkten der USA, Japans und der BRD. 2 indexed citations
19.
Haas, Michael J., et al.. (1991). Cloning, expression and characterization of a cDNA encoding a lipase from Rhizopus delemar. Gene. 109(1). 107–113. 57 indexed citations
20.
Haas, Michael J. & John E. Dowding. (1975). [48] Aminoglycoside-modifying enzymes. Methods in enzymology on CD-ROM/Methods in enzymology. 611–628. 283 indexed citations

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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