Hooman Sazegar

2.8k citations
7 papers · 2.1k indexed · 1 hit paper · h-index 7
Topics
Melanoma and MAPK Pathways (4 papers)Immunotherapy and Immune Responses (3 papers)HER2/EGFR in Cancer Research (2 papers)

In The Last Decade

Hooman Sazegar

7 papers receiving 2.1k citations

Hit Papers

Melanomas acquire resistance to B-RAF(V600E) inhibition b...2010202620152020201050010001.5k

Peers

Hooman Sazegar
Comparison fields: 5 of 76
  • Molecular Biology 1.7k
  • Oncology 1.2k
  • Computational Theory and Mathematics 328
  • Immunology 326
  • Pathology and Forensic Medicine 258
Replace Narsis Attar with:
Narsis Attar United States
Aayoung Hong United States
Gatien Moriceau United States
Robert Hayward United Kingdom
Kim H.T. Paraiso United States
Michal Barzily-Rokni Israel
Ayana Sawai United States
Paul Wan United Kingdom
Inna V. Fedorenko United States
Chris M. Jones United Kingdom
Hooman Sazegar relative to Narsis Attar United States Narsis Attar's profile →
Citations per field
00.5×1.5×
Narsis Attar · 1×
Citations per year

Countries citing papers authored by Hooman Sazegar

Since Specialization
Citations

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

Fields of papers citing papers by Hooman Sazegar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hooman Sazegar

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 14
2 120
3 78
4
Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulationbreakdown →
1614
5 23
6 171
7 111

About Hooman Sazegar

Hooman Sazegar is a scholar working on Oncology, Immunology and Computational Theory and Mathematics, having authored 7 papers that have together received 2.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Immunotherapy and Immune Responses (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Oncology (1.2k citations), Molecular Biology (1.7k citations) and Computational Theory and Mathematics (328 citations). Hooman Sazegar has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Antoni Ribas, Richard C. Koya, Narsis Attar, Roger S. Lo, Thinle Chodon, Ramin Nazarian, Qi Wang, Hubing Shi, Mi‐Kyung Lee and Stanley F. Nelson. Their work appears in journals such as Nature, PLoS ONE and Clinical 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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