Melody K. Morris

1.5k total citations · 1 hit paper
16 papers, 940 citations indexed

About

Melody K. Morris is a scholar working on Molecular Biology, Computational Theory and Mathematics and Aging. According to data from OpenAlex, Melody K. Morris has authored 16 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Aging. Recurrent topics in Melody K. Morris's work include Gene Regulatory Network Analysis (6 papers), Computational Drug Discovery Methods (5 papers) and Bioinformatics and Genomic Networks (5 papers). Melody K. Morris is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Computational Drug Discovery Methods (5 papers) and Bioinformatics and Genomic Networks (5 papers). Melody K. Morris collaborates with scholars based in United States, Switzerland and Greece. Melody K. Morris's co-authors include Douglas A. Lauffenburger, Julio Sáez-Rodríguez, Peter K. Sorger, David J. Glass, Tea Shavlakadze, Guglielmo Roma, Weihua Zhou, Martin Beibel, Hans Hockey and Lloyd B. Klickstein and has published in prestigious journals such as PLoS ONE, Biochemistry and Cancer Research.

In The Last Decade

Melody K. Morris

16 papers receiving 924 citations

Hit Papers

TORC1 inhibition enhances immune function and reduces inf... 2018 2026 2020 2023 2018 100 200 300
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. TORC1 inhibition enhances immune function and reduces infections in the elderly
    2018 332 citations Joan B. Mannick, Melody K. Morris et al. Science Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melody K. Morris United States 10 574 167 144 131 103 16 940
Kenneth L. Seldeen United States 20 585 1.0× 204 1.2× 74 0.5× 31 0.2× 20 0.2× 57 962
Max Kotlyar Canada 20 1.1k 1.9× 93 0.6× 137 1.0× 24 0.2× 221 2.1× 49 1.6k
Francesca Macchiarini United States 15 210 0.4× 187 1.1× 172 1.2× 158 1.2× 10 0.1× 16 927
Kathleen Ruchalski United States 13 695 1.2× 58 0.3× 112 0.8× 21 0.2× 49 0.5× 28 1.1k
Yulin Dai United States 17 600 1.0× 118 0.7× 113 0.8× 16 0.1× 60 0.6× 55 1.0k
David A. Liem United States 22 1.2k 2.1× 181 1.1× 63 0.4× 37 0.3× 18 0.2× 37 1.7k
Tianxiao Huan United States 19 973 1.7× 164 1.0× 155 1.1× 28 0.2× 63 0.6× 62 1.6k
Jiya Sun China 12 303 0.5× 109 0.7× 151 1.0× 12 0.1× 30 0.3× 33 632
Nicola D. Kerrison United Kingdom 16 670 1.2× 206 1.2× 49 0.3× 38 0.3× 20 0.2× 23 1.2k
Mikhail Korzinkin Russia 11 304 0.5× 56 0.3× 26 0.2× 61 0.5× 89 0.9× 12 618

Countries citing papers authored by Melody K. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Melody K. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melody K. Morris. 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 Melody K. Morris. The network helps show where Melody K. Morris may publish in the future.

Co-authorship network of co-authors of Melody K. Morris

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

All Works

16 of 16 papers shown
1.
Sebastiani, Paola, Anthony Federico, Melody K. Morris, et al.. (2021). Protein signatures of centenarians and their offspring suggest centenarians age slower than other humans. Aging Cell. 20(2). e13290–e13290. 48 indexed citations
2.
Gleim, Scott, Florian Kiefer, Frederic Sigoillot, et al.. (2019). Benchmarking network algorithms for contextualizing genes of interest. PLoS Computational Biology. 15(12). e1007403–e1007403. 5 indexed citations
3.
Shavlakadze, Tea, Melody K. Morris, Jian Fang, et al.. (2019). Age-Related Gene Expression Signature in Rats Demonstrate Early, Late, and Linear Transcriptional Changes from Multiple Tissues. Cell Reports. 28(12). 3263–3273.e3. 106 indexed citations
4.
Sebastiani, Paola, Stefano Monti, Melody K. Morris, et al.. (2019). A serum protein signature of APOE genotypes in centenarians. Aging Cell. 18(6). e13023–e13023. 19 indexed citations
5.
Sebastiani, Paola, Anthony Federico, Melody K. Morris, et al.. (2019). Protein Signatures of Centenarians and Their Offspring Suggest Centenarians Age Slower than Other Humans. SSRN Electronic Journal. 2 indexed citations
6.
Mannick, Joan B., Melody K. Morris, Hans Hockey, et al.. (2018). TORC1 inhibition enhances immune function and reduces infections in the elderly. Science Translational Medicine. 10(449). 332 indexed citations breakdown →
7.
Hicks, Alexandra, Huseyin Mehmet, Melody K. Morris, et al.. (2015). Pharmacological Inhibition of O-GlcNAcase Does Not Increase Sensitivity of Glucocorticoid Receptor-Mediated Transrepression. PLoS ONE. 10(12). e0145151–e0145151. 5 indexed citations
8.
Stepaniants, S., I‐Ming Wang, Yves Boie, et al.. (2014). Genes related to emphysema are enriched for ubiquitination pathways. BMC Pulmonary Medicine. 14(1). 187–187. 14 indexed citations
9.
Morris, Melody K., An Chi, Ioannis N. Melas, & Leonidas G. Alexopoulos. (2013). Phosphoproteomics in drug discovery. Drug Discovery Today. 19(4). 425–432. 26 indexed citations
10.
Morris, Melody K., Ioannis N. Melas, & Julio Sáez-Rodríguez. (2012). Construction of Cell Type-Specific Logic Models of Signaling Networks Using CellNOpt. Methods in molecular biology. 930. 179–214. 6 indexed citations
11.
Clarke, David C., Melody K. Morris, & Douglas A. Lauffenburger. (2012). Normalization and Statistical Analysis of Multiplexed Bead-based Immunoassay Data Using Mixed-effects Modeling. Molecular & Cellular Proteomics. 12(1). 245–262. 18 indexed citations
12.
Mitsos, Alexander, Ioannis N. Melas, Melody K. Morris, et al.. (2012). Non Linear Programming (NLP) Formulation for Quantitative Modeling of Protein Signal Transduction Pathways. PLoS ONE. 7(11). e50085–e50085. 10 indexed citations
13.
Sáez-Rodríguez, Julio, Leonidas G. Alexopoulos, Mingsheng Zhang, et al.. (2011). Comparing Signaling Networks between Normal and Transformed Hepatocytes Using Discrete Logical Models. Cancer Research. 71(16). 5400–5411. 112 indexed citations
14.
Morris, Melody K., Zachary Shriver, Ram Sasisekharan, & Douglas A. Lauffenburger. (2011). Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
15.
Morris, Melody K., Zachary Shriver, Ram Sasisekharan, & Douglas A. Lauffenburger. (2011). Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell‐cytokine interactions. Biotechnology Journal. 7(3). 374–386. 6 indexed citations
16.
Morris, Melody K., Julio Sáez-Rodríguez, Peter K. Sorger, & Douglas A. Lauffenburger. (2010). Logic-Based Models for the Analysis of Cell Signaling Networks. Biochemistry. 49(15). 3216–3224. 230 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kenneth L. Seldeen Breakdown of academic impact, for papers by Max Kotlyar Breakdown of academic impact, for papers by Francesca Macchiarini Breakdown of academic impact, for papers by Kathleen Ruchalski Breakdown of academic impact, for papers by Yulin Dai Breakdown of academic impact, for papers by David A. Liem Breakdown of academic impact, for papers by Tianxiao Huan Breakdown of academic impact, for papers by Jiya Sun Breakdown of academic impact, for papers by Nicola D. Kerrison Breakdown of academic impact, for papers by Mikhail Korzinkin
Rankless by CCL
2026