Mona Mashayekhi

4.0k citations
38 papers · 2.6k indexed · 1 hit paper · h-index 19

Mona Mashayekhi

37 papers receiving 2.5k citations

Hit Papers

Type I interferon is selectively required by dendritic ce...8642011202620162021250500750

Peers

Mona Mashayekhi
Comparison fields: 5 of 107
  • Parasitology 435
  • Immunology 1.3k
  • Oncology 492
  • Epidemiology 512
  • Virology 54
Replace Gláucia C. Furtado with:
Gláucia C. Furtado United States
Bojan Polić Croatia
Elisabeth Förster‐Waldl Austria
Adriana Bonomo Brazil
Graham R. Wallace United Kingdom
Nancy E. Street United States
Paola Zaccone United Kingdom
Colleen Kane United States
Hironori Bando Japan
Clare L. Bennett United Kingdom
Mona Mashayekhi relative to Gláucia C. Furtado United States Gláucia C. Furtado's profile →
Citations per field
00.5×2.7×
Gláucia C. Furtado · 1×
Citations per year

Countries citing papers authored by Mona Mashayekhi

Since Specialization
Citations

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

Fields of papers citing papers by Mona Mashayekhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202416
4 20243
5 20234
6 202213
7 20222
8 20215
9 202010
10 201929
11 2012130
12
Type I interferon is selectively required by dendritic cells for immune rejection of tumorsbreakdown →
2011864
13 2011311
14 201055
15 2010230
16 2008158
17 200692
18 200678
19 200519
20
STUDY OF PREDISPOSING FACTORS, COMPLICATIONS AND MORTALITY OF DIABETIC KETOACIDOSIS IN TEENS AND ADULTS
20011

About Mona Mashayekhi

Mona Mashayekhi is a scholar working on Emergency Medicine, Endocrinology, Diabetes and Metabolism and Immunology, having authored 38 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Diabetes Treatment and Management (9 papers), HIV-related health complications and treatments (8 papers), T-cell and B-cell Immunology (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Diabetes and associated disorders (5 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Parasitology (435 citations), Immunology (1.3k citations) and Oncology (492 citations). Mona Mashayekhi has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Kenneth M. Murphy, Hsiaoju Lee, J. Michael White, Gavin P. Dunn, Cora D. Arthur, Michelle Kinder, Robert D. Schreiber, Ulrich Kalinke, Hirokazu Matsushita and Mark S. Diamond. Their work appears in journals such as Frontiers in Immunology, Diabetes Obesity and Metabolism, The Journal of Experimental Medicine, The Journal of Immunology and American Journal of Physiology-Legacy Content.

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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