Deep Shah

415 citations
20 papers · 313 · h-index 11

Impact in

Papers in

    • HER2/EGFR in Cancer Research 6
    • Cancer Cells and Metastasis 2
    • Management of metastatic bone disease 2

Deep Shah

18 papers receiving 303 citations

Peers

Deep Shah
Comparison fields: 5 of 69
  • Oncology 113
  • Internal Medicine 13
  • Cancer Research 38
  • Immunology and Allergy 10
  • Radiology, Nuclear Medicine and Imaging 37
Replace Monika Rucińska with:
Monika Rucińska Poland
Abigail Crocker United States
Joachim Kieschke Germany
Michelle B. Nadler Canada
K.R. Loughlin United States
Emily N. Kinsey United States
En Yun Loy Singapore
Emily Dalton United States
Paula Trahan Rieger United States
Rudolf Virchow Mexico
Deep Shah relative to Monika Rucińska Poland Monika Rucińska's profile →
Citations per field
00.5×1.5×2.5×
Monika Rucińska · 1×
Citations per year

Countries citing papers authored by Deep Shah

Since Specialization
Citations

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

Fields of papers citing papers by Deep Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199549
2 201644
3 201833
4 201531
5 201524
6
Who gets radiotherapy?
199022
7 201521
8 201116
9 199114
10 201113
11 202212
12 20169
13 20198
14 20177
15 20154
16 20202
17 20182
18 20241
19 20211
20 20200

About Deep Shah

Deep Shah is a scholar working on Oncology, Surgery, Neurology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 20 papers that have together received 313 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Neuroendocrine Tumor Research Advances (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Breast Cancer Treatment Studies (2 papers), Neuroblastoma Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers), Obesity, Physical Activity, Diet (2 papers) and Management of metastatic bone disease (2 papers). The work is most often cited by research in Oncology (113 citations), Internal Medicine (13 citations), Cancer Research (38 citations), Immunology and Allergy (10 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Deep Shah has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Clodia Osipo, K. Michael Cummings, Sandeep S. Udmale, Lucio Miele, Debra Wyatt, Andrew R. Green, Andrew T. Baker, Elizabeth Maher, John Hutton and Maria Goddard. Their work appears in journals such as Clinical Cancer Research, Clinical Breast Cancer, Anticancer Research, JAMA and Journal of Vascular Surgery Venous and Lymphatic Disorders.

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