Madiha Naseem

3.2k citations
42 papers · 1.9k indexed · 1 hit paper · h-index 14

Madiha Naseem

40 papers receiving 1.9k citations

Hit Papers

CXCL9, CXCL10, CXCL11/CXCR3 axis for immune activation – ...9812017202620202023250500750

Peers

Madiha Naseem
Comparison fields: 5 of 113
  • Oncology 962
  • Immunology 692
  • Cancer Research 319
  • Pathology and Forensic Medicine 309
  • Pulmonary and Respiratory Medicine 344
Replace Inês Pires da Silva with:
Inês Pires da Silva Australia
Abdolrasoul Talei Iran
John C. Morris United States
Zhaogang Dong China
Ivan V. Litvinov Canada
Keisuke Watanabe Japan
Melissa G. Lechner United States
Xianrui Wu China
Magnus Thörn Sweden
Mattia Bugatti Italy
Madiha Naseem relative to Inês Pires da Silva Australia Inês Pires da Silva's profile →
Citations per field
00.5×
Inês Pires da Silva · 1×
Citations per year

Countries citing papers authored by Madiha Naseem

Since Specialization
Citations

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

Fields of papers citing papers by Madiha Naseem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 202226
5 20213
6 202052
7 20208
8 201962
9 20196
10 20184
11 20181
12 2018149
13 2018169
14 201835
15 20184
16
CXCL9, CXCL10, CXCL11/CXCR3 axis for immune activation – A target for novel cancer therapybreakdown →
2017981
17 201750
18 20141
19 20051
20 200526

About Madiha Naseem

Madiha Naseem is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (14 papers), Genetic factors in colorectal cancer (10 papers), Cancer Genomics and Diagnostics (6 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (4 papers), Colorectal Cancer Surgical Treatments (2 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Oncology (962 citations), Immunology (692 citations) and Cancer Research (319 citations). Madiha Naseem has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Heinz‐Josef Lenz, Alberto Puccini, Ryuma Tokunaga, Martin D. Berger, Wu Zhang, Shivani Soni, Hideo Baba, Michelle McSkane, Francesca Battaglin and Mohamed E. Salem. Their work appears in journals such as Journal of Clinical Oncology, Oncogene and Scientific Reports.

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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