Daniela Malide

8.5k citations
67 papers · 6.8k indexed · 4 hit papers · h-index 35

Daniela Malide

67 papers receiving 6.6k citations

Hit Papers

Measuring In Vivo Mitophagy5192001202620092017250500750

Peers

Daniela Malide
Comparison fields: 5 of 136
  • Aging 117
  • Immunology 1.4k
  • Genetics 678
  • Epidemiology 1.9k
  • Nephrology 345
Replace Parmjit Jat with:
Parmjit Jat United Kingdom
Chi‐Chao Chan United States
Ye‐Guang Chen China
Xin‐Hua Feng United States
Dennis K. Burns United States
Marı́a Mittelbrunn Spain
Hiroshi Shibuyà Japan
Gerd Walz Germany
Jacek Majewski Canada
Joanne E. Murphy-Ullrich United States
Daniela Malide relative to Parmjit Jat United Kingdom Parmjit Jat's profile →
Citations per field
00.5×3.4×
Parmjit Jat · 1×
Citations per year

Countries citing papers authored by Daniela Malide

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Malide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniela Malide, 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 Daniela Malide Line = papers co-authored together Daniela Malide links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20218
2 202024
3 202045
4 202019
5 20165
6 201517
7 201414
8 20147
9 2011129
10 201088
11 201063
12 20104
13 200919
14 20087
15
Human mesenchymal stem cells exert potent antitumorigenic effects in a model of Kaposi's sarcomabreakdown →
2006622
16
A novel influenza A virus mitochondrial protein that induces cell deathbreakdown →
2001791
17 1997242
18 199749
19
Altered GLUT4 subcellular trafficking in primary adipose cell cultures: Immunocytochemical evidence.
19961
20 199566

About Daniela Malide

Daniela Malide is a scholar working on Hematology, Immunology and Biophysics, having authored 67 papers that have together received 6.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Cellular transport and secretion (9 papers), Pancreatic function and diabetes (8 papers), Mitochondrial Function and Pathology (4 papers), Immunotherapy and Immune Responses (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Platelet Disorders and Treatments (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Aging (117 citations), Immunology (1.4k citations) and Genetics (678 citations). Daniela Malide has collaborated with scholars based in United States, Canada and Romania. Frequent co-authors include Christian A. Combs, Toren Finkel, Ilsa I. Rovira, Jonathan W. Yewdell, Jack R. Bennink, James S. Gibbs, Samuel W. Cushman, Marı́a M. Fergusson, Nuo Sun and Ian A. Simpson. Their work appears in journals such as Blood, Journal of Cell Science, Proceedings of the National Academy of Sciences, Journal of Histochemistry & Cytochemistry and Nature Medicine.

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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