Melissa Boersma

1.8k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Melissa Boersma is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Melissa Boersma has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Organic Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Melissa Boersma's work include Chemical Synthesis and Analysis (6 papers), Peptidase Inhibition and Analysis (3 papers) and RNA and protein synthesis mechanisms (3 papers). Melissa Boersma is often cited by papers focused on Chemical Synthesis and Analysis (6 papers), Peptidase Inhibition and Analysis (3 papers) and RNA and protein synthesis mechanisms (3 papers). Melissa Boersma collaborates with scholars based in United States, China and Australia. Melissa Boersma's co-authors include Samuel H. Gellman, John M. Denu, W. Seth Horne, Matthew A. Windsor, David J. Pagliarini, Kristin E. Dittenhafer‐Reed, Alexander S. Hebert, Derek J. Bailey, Fariba M. Assadi‐Porter and Sushmita Roy and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Melissa Boersma

27 papers receiving 1.4k citations

Hit Papers

Calorie Restriction and SIRT3 Trigger Global Reprogrammin... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Boersma United States 17 990 294 233 200 190 30 1.4k
Benjamin Fränzel Germany 14 464 0.5× 158 0.5× 86 0.4× 81 0.4× 54 0.3× 18 721
Jinming Wu China 14 600 0.6× 49 0.2× 311 1.3× 50 0.3× 102 0.5× 36 1.2k
Simona Todisco Italy 21 1.3k 1.4× 71 0.2× 154 0.7× 75 0.4× 35 0.2× 36 2.0k
Mariano Stornaiuolo Italy 23 762 0.8× 18 0.1× 165 0.7× 111 0.6× 119 0.6× 84 1.5k
Adi Y. Berman United States 8 347 0.4× 244 0.8× 124 0.5× 47 0.2× 24 0.1× 8 791
Jean‐François Dumas France 20 757 0.8× 43 0.1× 457 2.0× 41 0.2× 59 0.3× 44 1.4k
Kyu Hyung Han South Korea 19 505 0.5× 38 0.1× 65 0.3× 68 0.3× 28 0.1× 43 867
Giuseppe Iacomino Italy 20 723 0.7× 27 0.1× 148 0.6× 115 0.6× 58 0.3× 41 1.3k
Chunlei Yu China 22 718 0.7× 41 0.1× 39 0.2× 175 0.9× 77 0.4× 57 1.2k
Jung‐Ae Kim South Korea 21 1.0k 1.0× 22 0.1× 104 0.4× 127 0.6× 41 0.2× 47 1.6k

Countries citing papers authored by Melissa Boersma

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Boersma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Boersma. 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 Melissa Boersma. The network helps show where Melissa Boersma may publish in the future.

Co-authorship network of co-authors of Melissa Boersma

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Boersma. A scholar is included among the top collaborators of Melissa Boersma 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 Melissa Boersma. Melissa Boersma 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.
Selvaraju, Vaithinathan, et al.. (2025). Effect of H2O2 induced oxidative stress on volatile organic compounds in differentiated 3T3-L1 cells. Scientific Reports. 15(1). 2597–2597. 5 indexed citations
2.
Shanmugam, S, et al.. (2025). Thermal hydrolysis of poultry byproducts for the production of microbial media. Scientific Reports. 15(1). 6107–6107. 2 indexed citations
3.
Boersma, Melissa, et al.. (2025). Chemical factors governing growth of nutraceutical Chlorella sorokiniana on thermal hydrolysate of poultry processing waste. Chemical Engineering Journal Advances. 24. 100849–100849.
4.
Wang, Qichen, et al.. (2025). Pretreatment Removes Organic Molecules in Anaerobic Digestates That Inhibit Algal Productivity. ACS ES&T Water. 5(9). 5327–5338.
6.
He, Jianzhou, et al.. (2024). Biochar and surfactant synergistically enhanced PFAS destruction in UV/sulfite system at neutral pH. Chemosphere. 353. 141562–141562. 13 indexed citations
7.
Mortley, Desmond G., et al.. (2024). Comparison of the Efficiency of Deep Eutectic and Organic Solvents in the Extraction of Phytochemicals from Cannabis sativa L.. Separations. 11(4). 106–106. 4 indexed citations
8.
Yang, Zhenlin, Shuiming Qian, Li Lü, et al.. (2018). EBS is a bivalent histone reader that regulates floral phase transition in Arabidopsis. Nature Genetics. 50(9). 1247–1253. 105 indexed citations
9.
Qian, Shuiming, Xinchen Lv, Li Lü, et al.. (2018). Dual recognition of H3K4me3 and H3K27me3 by a plant histone reader SHL. Nature Communications. 9(1). 2425–2425. 80 indexed citations
10.
Su, Zhangli, Fengbin Wang, Jin Hee Lee, et al.. (2016). Reader domain specificity and lysine demethylase-4 family function. Nature Communications. 7(1). 13387–13387. 38 indexed citations
11.
Su, Zhangli, Melissa Boersma, Jinhee Lee, et al.. (2014). ChIP-less analysis of chromatin states. Epigenetics & Chromatin. 7(1). 7–7. 20 indexed citations
12.
Hayouka, Zvi, Saswata Chakraborty, Runhui Liu, et al.. (2013). Interplay among Subunit Identity, Subunit Proportion, Chain Length, and Stereochemistry in the Activity Profile of Sequence-Random Peptide Mixtures. Journal of the American Chemical Society. 135(32). 11748–11751. 45 indexed citations
13.
Zhang, Na, Muthusubramanian Venkateshwaran, Melissa Boersma, et al.. (2012). Metabolomic profiling reveals suppression of oxylipin biosynthesis during the early stages of legume–rhizobia symbiosis. FEBS Letters. 586(19). 3150–3158. 31 indexed citations
14.
Hebert, Alexander S., Kristin E. Dittenhafer‐Reed, Wei Yu, et al.. (2012). Calorie Restriction and SIRT3 Trigger Global Reprogramming of the Mitochondrial Protein Acetylome. Molecular Cell. 49(1). 186–199. 527 indexed citations breakdown →
15.
Teng, Xinchen, Wen‐Chih Cheng, Bing Qi, et al.. (2011). Gene-dependent cell death in yeast. Cell Death and Disease. 2(8). e188–e188. 38 indexed citations
16.
Boersma, Melissa, Jack Sadowsky, York Tomita, & Samuel H. Gellman. (2008). Hydrophile scanning as a complement to alanine scanning for exploring and manipulating protein–protein recognition: Application to the Bim BH3 domain. Protein Science. 17(7). 1232–1240. 66 indexed citations
17.
Horne, W. Seth, Melissa Boersma, Matthew A. Windsor, & Samuel H. Gellman. (2008). Sequence‐Based Design of α/β‐Peptide Foldamers That Mimic BH3 Domains. Angewandte Chemie. 120(15). 2895–2898. 23 indexed citations
18.
Horne, W. Seth, Melissa Boersma, Matthew A. Windsor, & Samuel H. Gellman. (2008). Sequence‐Based Design of α/β‐Peptide Foldamers That Mimic BH3 Domains. Angewandte Chemie International Edition. 47(15). 2853–2856. 130 indexed citations
19.
Fuller, Clifton D., Jason E. Schillerstrom, William E. Jones, et al.. (2008). Prospective Evaluation of Pretreatment Executive Cognitive Impairment and Depression in Patients Referred for Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 72(2). 529–533. 10 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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