Melody K. Morris

1.5k citations
16 papers · 940 indexed · 1 hit paper · h-index 10
Topics
Gene Regulatory Network Analysis (6 papers)Computational Drug Discovery Methods (5 papers)Bioinformatics and Genomic Networks (5 papers)

In The Last Decade

Melody K. Morris

16 papers receiving 924 citations

Hit Papers

TORC1 inhibition enhances immune function and reduces inf...20182026202020232018100200300

Peers

Melody K. Morris
Comparison fields: 5 of 100
  • Molecular Biology 574
  • Physiology 167
  • Immunology 144
  • Aging 131
  • Computational Theory and Mathematics 103
Replace Francesca Macchiarini with:
Francesca Macchiarini United States
Tianxiao Huan United States
Yulin Dai United States
Armand Valsesia Switzerland
David A. Liem United States
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Kathleen Ruchalski United States
Kenneth L. Seldeen United States
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Melody K. Morris relative to Francesca Macchiarini United States Francesca Macchiarini's profile →
Citations per field
00.5×10.3×
Francesca Macchiarini · 1×
Citations per year

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
#WorkIndexed citations
1 48
2 5
3 106
4 19
5 2
6
TORC1 inhibition enhances immune function and reduces infections in the elderlybreakdown →
332
7 5
8 14
9 26
10 10
11 6
12 18
13 112
14
Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions
1
15 6
16 230

About Melody K. Morris

Melody K. Morris is a scholar working on Aging, Computational Theory and Mathematics and Molecular Biology, having authored 16 papers that have together received 940 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Computational Drug Discovery Methods (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Aging (131 citations), Biological Psychiatry (23 citations) and Molecular Biology (574 citations). Melody K. Morris has collaborated with scholars based in United States, Switzerland and Greece. Frequent co-authors include Douglas A. Lauffenburger, Julio Sáez-Rodríguez, Peter K. Sorger, David J. Glass, Guglielmo Roma, Tea Shavlakadze, Weihua Zhou, Hans Hockey, Dean Quinn and Lloyd B. Klickstein. Their work appears in journals such as PLoS ONE, Biochemistry and Cancer Research.

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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