Anila Qureshi

3.9k citations
21 papers · 196 indexed · h-index 7
Topics
Cancer Immunotherapy and Biomarkers (8 papers)CAR-T cell therapy research (5 papers)Melanoma and MAPK Pathways (4 papers)
Partner nations
United StatesSpainItaly

In The Last Decade

Anila Qureshi

20 papers receiving 190 citations

Peers

Anila Qureshi
Comparison fields: 5 of 38
  • Oncology 147
  • Molecular Biology 60
  • Immunology 44
  • Hematology 36
  • Pathology and Forensic Medicine 30
Replace Pallavi Galera with:
Pallavi Galera United States
Jana Mihályová Czechia
Hans-Konrad Müller-Hermelink Germany
Kaiyang Ding China
Daniel Ribeiro Portugal
Tawnie Braaten United States
Yongsheng Ruan China
Yasuhiro Kazuma Japan
Michel Maigre France
Winnie L. Kan Australia
Anila Qureshi relative to Pallavi Galera United States Pallavi Galera's profile →
Citations per field
00.5×12×
Pallavi Galera · 1×
Citations per year

Countries citing papers authored by Anila Qureshi

Since Specialization
Citations

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

Fields of papers citing papers by Anila Qureshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anila Qureshi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 6
4 13
5
Adjuvant therapy with nivolumab versus ipilimumab after complete resection of stage III/IV melanoma: Updated results from a phase 3 trial (CheckMate 238)
1
6 52
7 3
8 2
9 17
10 5
11
Safety and pharmacokinetics of oblimersen administered as a weekly 2-hour intravenous infusion
1
12 5
13 1
14
The effects of mefenamic acid on hematocrit of the lizard, Uromastix hardwickii.
2
15 11
16
The effects of mefenamic acid on the osmotic fragility of lacertilian erythrocytes.
1
17 39
18 1
19 1
20 31

About Anila Qureshi

Anila Qureshi is a scholar working on Oncology, Hematology and Genetics, having authored 21 papers that have together received 196 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (5 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Oncology (147 citations), Hematology (36 citations) and Genetics (23 citations). Anila Qureshi has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Delong Liu, Karen Seiter, Muhammad Arshad, Jaroslaw W. Bilaniuk, Gomathi Ramaswamy, Asawari Patil, Michele Del Vecchio, Michele Maio, Vanna Chiarion‐Sileni and Paolo A. Ascierto. Their work appears in journals such as Journal of Clinical Oncology, Blood and 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026