Shakeel Modak

158 papers receiving 5.0k citations

Peers

Shakeel Modak
Comparison fields: 5 of 107
  • Neurology 2.6k
  • Oncology 1.3k
  • Cancer Research 639
  • Genetics 383
  • Immunology 726
Replace Dietrich von Schweinitz with:
Dietrich von Schweinitz Germany
Jaume Mora Spain
Thilo Dörk Germany
A D Pearson United Kingdom
Annunziato Mangiola Italy
Michael D. Hogarty United States
Marius Raica Romania
Éric Pasmant France
Susanna Scarpa Italy
Mamoru Tsukuda Japan
Shakeel Modak relative to Dietrich von Schweinitz Germany Dietrich von Schweinitz's profile →
Citations per field
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Dietrich von Schweinitz · 1×
Citations per year

Countries citing papers authored by Shakeel Modak

Since Specialization
Citations

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

Fields of papers citing papers by Shakeel Modak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005229
2 2012209
3 2009195
4 2012182
5 2002156
6 2017148
7 2010133
8
Monoclonal antibody 8H9 targets a novel cell surface antigen expressed by a wide spectrum of human solid tumors.
2001132
9 2005131
10 2017126
11 2006115
12 2014115
13 2006104
14 200499
15 200798
16 201898
17 200496
18 201796
19 201687
20
Oral (1-->3),(1-->4)-beta-D-glucan synergizes with antiganglioside GD2 monoclonal antibody 3F8 in the therapy of neuroblastoma.
200281

About Shakeel Modak

Shakeel Modak is a scholar working on Neurology, Oncology, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 171 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (128 papers), Cancer, Hypoxia, and Metabolism (25 papers), Lung Cancer Research Studies (24 papers), Cancer therapeutics and mechanisms (22 papers), Sarcoma Diagnosis and Treatment (17 papers), Glioma Diagnosis and Treatment (11 papers), Neuroendocrine Tumor Research Advances (10 papers) and Adrenal and Paraganglionic Tumors (8 papers). The work is most often cited by research in Neurology (2.6k citations), Oncology (1.3k citations), Cancer Research (639 citations), Genetics (383 citations) and Immunology (726 citations). Shakeel Modak has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Nai‐Kong V. Cheung, Brian H. Kushner, Kim Kramer, Michael P. LaQuaglia, Irene Y. Cheung, Suzanne L. Wolden, Neeta Pandit‐Taskar, Ellen M. Basu, Stephen S. Roberts and Sameer Farouk Sait. Their work appears in journals such as Journal of Clinical Oncology, Pediatric Blood & Cancer, International Journal of Radiation Oncology*Biology*Physics, Journal of Pediatric Hematology/Oncology and International Journal of Cancer.

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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