Michael W. Nolte

1.8k total citations · 1 hit paper
16 papers, 1.6k citations indexed

About

Michael W. Nolte is a scholar working on Biomedical Engineering, Mechanical Engineering and Catalysis. According to data from OpenAlex, Michael W. Nolte has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 4 papers in Mechanical Engineering and 2 papers in Catalysis. Recurrent topics in Michael W. Nolte's work include Thermochemical Biomass Conversion Processes (13 papers), Lignin and Wood Chemistry (11 papers) and Catalysis for Biomass Conversion (7 papers). Michael W. Nolte is often cited by papers focused on Thermochemical Biomass Conversion Processes (13 papers), Lignin and Wood Chemistry (11 papers) and Catalysis for Biomass Conversion (7 papers). Michael W. Nolte collaborates with scholars based in United States. Michael W. Nolte's co-authors include Brent H. Shanks, Tianfu Wang, Linda J. Broadbelt, Heather B. Mayes, Xiaowei Zhou, Jing Zhang, Matthew W. Liberatore, Gregg T. Beckham, Alireza Saraeian and S. Gnanakaran and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Journal of Physical Chemistry B and ACS Catalysis.

In The Last Decade

Michael W. Nolte

16 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Catalytic dehydration of C₆carbohydrates for the production of hydroxymethylfurfural (HMF) as a versatile platform chemical

2013 527 citations Tianfu Wang, Michael W. Nolte et al. Green Chemistry profile →

Peers

Michael W. Nolte

EOMM

Mo Qiu China

Jacob S. Kruger United States

Yongqin Qi China

Luxin Zhang China

Indra Neel Pulidindi Israel

Yueyuan Ye China

Zhi Yun China

Yue‐Jin Liu China

Kalpana C. Maheria India

Mo Qiu China

Michael W. Nolte

748 ×0.5

250 ×0.7

305 ×1.1

174 ×1.1

266 ×1.8

EOMM

Citations per year, relative to Michael W. Nolte Michael W. Nolte (= 1×) peers Mo Qiu

Countries citing papers authored by Michael W. Nolte

Since Specialization

Citations

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

Fields of papers citing papers by Michael W. Nolte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Nolte. 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 W. Nolte. The network helps show where Michael W. Nolte may publish in the future.

Co-authorship network of co-authors of Michael W. Nolte

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Nolte. A scholar is included among the top collaborators of Michael W. Nolte 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 W. Nolte. Michael W. Nolte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Saraeian, Alireza, Michael W. Nolte, & Brent H. Shanks. (2019). Deoxygenation of biomass pyrolysis vapors: Improving clarity on the fate of carbon. Renewable and Sustainable Energy Reviews. 104. 262–280. 77 indexed citations

Nolte, Michael W., Alireza Saraeian, & Brent H. Shanks. (2017). Hydrodeoxygenation of cellulose pyrolysis model compounds using molybdenum oxide and low pressure hydrogen. Green Chemistry. 19(15). 3654–3664. 40 indexed citations

Nolte, Michael W. & Brent H. Shanks. (2016). A Perspective on Catalytic Strategies for Deoxygenation in Biomass Pyrolysis. Energy Technology. 5(1). 7–18. 100 indexed citations

Zhang, Jing, Kaige Wang, Michael W. Nolte, et al.. (2016). Catalytic Deoxygenation of Bio-Oil Model Compounds over Acid–Base Bifunctional Catalysts. ACS Catalysis. 6(4). 2608–2621. 41 indexed citations

Zhou, Xiaowei, Heather B. Mayes, Linda J. Broadbelt, Michael W. Nolte, & Brent H. Shanks. (2015). Fast pyrolysis of glucose‐based carbohydrates with added NaCl part 1: Experiments and development of a mechanistic model. AIChE Journal. 62(3). 766–777. 63 indexed citations

Zhou, Xiaowei, Heather B. Mayes, Linda J. Broadbelt, Michael W. Nolte, & Brent H. Shanks. (2015). Fast pyrolysis of glucose‐based carbohydrates with added NaCl part 2: Validation and evaluation of the mechanistic model. AIChE Journal. 62(3). 778–791. 44 indexed citations

Nolte, Michael W., Jing Zhang, & Brent H. Shanks. (2015). Ex situ hydrodeoxygenation in biomass pyrolysis using molybdenum oxide and low pressure hydrogen. Green Chemistry. 18(1). 134–138. 67 indexed citations

Zhou, Xiaowei, Michael W. Nolte, Heather B. Mayes, Brent H. Shanks, & Linda J. Broadbelt. (2014). Experimental and Mechanistic Modeling of Fast Pyrolysis of Neat Glucose-Based Carbohydrates. 1. Experiments and Development of a Detailed Mechanistic Model. Industrial & Engineering Chemistry Research. 53(34). 13274–13289. 155 indexed citations

Mayes, Heather B., Michael W. Nolte, Gregg T. Beckham, Brent H. Shanks, & Linda J. Broadbelt. (2014). The Alpha–Bet(a) of Salty Glucose Pyrolysis: Computational Investigations Reveal Carbohydrate Pyrolysis Catalytic Action by Sodium Ions. ACS Catalysis. 5(1). 192–202. 53 indexed citations

10.

Zhang, Jing, Michael W. Nolte, & Brent H. Shanks. (2014). Investigation of Primary Reactions and Secondary Effects from the Pyrolysis of Different Celluloses. ACS Sustainable Chemistry & Engineering. 2(12). 2820–2830. 79 indexed citations

11.

Mayes, Heather B., Michael W. Nolte, Gregg T. Beckham, Brent H. Shanks, & Linda J. Broadbelt. (2014). The Alpha–Bet(a) of Glucose Pyrolysis: Computational and Experimental Investigations of 5-Hydroxymethylfurfural and Levoglucosan Formation Reveal Implications for Cellulose Pyrolysis. ACS Sustainable Chemistry & Engineering. 2(6). 1461–1473. 114 indexed citations

12.

Zhou, Xiaowei, Michael W. Nolte, Brent H. Shanks, & Linda J. Broadbelt. (2014). Experimental and Mechanistic Modeling of Fast Pyrolysis of Neat Glucose-Based Carbohydrates. 2. Validation and Evaluation of the Mechanistic Model. Industrial & Engineering Chemistry Research. 53(34). 13290–13301. 74 indexed citations

13.

Mayes, Heather B., Tian Jianhui, Michael W. Nolte, et al.. (2013). Sodium Ion Interactions with Aqueous Glucose: Insights from Quantum Mechanics, Molecular Dynamics, and Experiment. The Journal of Physical Chemistry B. 118(8). 1990–2000. 47 indexed citations

14.

Wang, Tianfu, Michael W. Nolte, & Brent H. Shanks. (2013). Catalytic dehydration of C₆carbohydrates for the production of hydroxymethylfurfural (HMF) as a versatile platform chemical. Green Chemistry. 16(2). 548–572. 527 indexed citations breakdown →

15.

Nolte, Michael W. & Matthew W. Liberatore. (2011). Real-Time Viscosity Measurements during the Accelerated Aging of Biomass Pyrolysis Oil. Energy & Fuels. 25(7). 3314–3317. 24 indexed citations

16.

Nolte, Michael W. & Matthew W. Liberatore. (2010). Viscosity of Biomass Pyrolysis Oils from Various Feedstocks. Energy & Fuels. 24(12). 6601–6608. 62 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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