Negar Makhsous

988 citations
19 papers · 656 indexed · 1 hit paper · h-index 13
Topics
Respiratory viral infections research (10 papers)Virus-based gene therapy research (5 papers)Viral gastroenteritis research and epidemiology (4 papers)

In The Last Decade

Negar Makhsous

19 papers receiving 650 citations

Hit Papers

Characterization of orally efficacious influenza drug wit...2019202620212023201950100150200

Peers

Negar Makhsous
Comparison fields: 5 of 80
  • Infectious Diseases 327
  • Epidemiology 271
  • Molecular Biology 163
  • Pulmonary and Respiratory Medicine 71
  • Genetics 56
Replace Natalie M. Kirk with:
Natalie M. Kirk United States
Xiaodan Li China
James W. Noah United States
Riccardo V. D’Elia United Kingdom
Ryan C. Shean United States
Kazuhiko Kanou Japan
Vithiagaran Gunalan Singapore
Norio Yamamoto Japan
Seesandra V. Rajagopala United States
Virginia Takahashi United States
Negar Makhsous relative to Natalie M. Kirk United States Natalie M. Kirk's profile →
Citations per field
00.5×3.2×
Natalie M. Kirk · 1×
Citations per year

Countries citing papers authored by Negar Makhsous

Since Specialization
Citations

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

Fields of papers citing papers by Negar Makhsous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Negar Makhsous

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 6
2 21
3 52
4 22
5
Characterization of orally efficacious influenza drug with high resistance barrier in ferrets and human airway epitheliabreakdown →
233
6 39
7 109
8 3
9 16
10 18
11 22
12 20
13 42
14 1
15 20
16 13
17 5
18 5
19 9

About Negar Makhsous

Negar Makhsous is a scholar working on Infectious Diseases, Epidemiology and Animal Science and Zoology, having authored 19 papers that have together received 656 indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), Virus-based gene therapy research (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (327 citations), Epidemiology (271 citations) and Virology (31 citations). Negar Makhsous has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alexander L. Greninger, Ryan C. Shean, Richard K. Plemper, Robert M. Cox, Matteo Porotto, Anne Moscona, B. K. Rima, Alexander A. Kolykhalov, Jeong-Joong Yoon and Marion Ferren. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Clinical Infectious Diseases.

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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