Melissa Singh

690 citations
15 papers · 541 indexed · h-index 9

Impact in

    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • Histone Deacetylase Inhibitors Research
    • DNA Repair Mechanisms
    • Protein Degradation and Inhibitors
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics
    • Cancer-related Molecular Pathways

Papers in

    • Chronic Lymphocytic Leukemia Research 2
    • Glioma Diagnosis and Treatment 2
    • Chronic Myeloid Leukemia Treatments 2

Melissa Singh

15 papers receiving 538 citations

Peers

Melissa Singh
Comparison fields: 5 of 62
  • Molecular Biology 476
  • Oncology 136
  • Genetics 48
  • Hematology 37
  • Cancer Research 47
Replace Leonor M. Sarmento with:
Leonor M. Sarmento Portugal
Antonella Padella Italy
Yuta Mishima Japan
Tianxiang Tu United States
Baeck-Seung Lee United States
Laurence Jeanson-Leh France
Bo R. Hansen Denmark
Thomas Metz Germany
Catherine Carmichael Australia
Juergen Fink United Kingdom
Melissa Singh relative to Leonor M. Sarmento Portugal Leonor M. Sarmento's profile →
Citations per field
00.5×4.8×
Leonor M. Sarmento · 1×
Citations per year

Countries citing papers authored by Melissa Singh

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Melissa Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melissa Singh Line = papers co-authored together Melissa Singh links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20233
2 20221
3 20202
4 20188
5 201822
6 20175
7 201636
8 201566
9 201222
10 201170
11 201122
12 20114
13 2010171
14 20101
15 2010108

About Melissa Singh

Melissa Singh is a scholar working on Genetics, Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 15 papers that have together received 541 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (6 papers), Epigenetics and DNA Methylation (6 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Molecular Biology (476 citations), Oncology (136 citations), Genetics (48 citations), Hematology (37 citations) and Cancer Research (47 citations). Melissa Singh has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Phillip B. Carpenter, Joya Chandra, Hong Dou, Chao Huang, Edward T.H. Yeh, Judd C. Rice, Claudia P. Miller, Blake Johnson, Xiaoping Su and Elsa R. Flores. Their work appears in journals such as Neuro-Oncology, Cancer Research, Cancer, Scientific Reports and ACS Chemical Neuroscience.

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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