Shuchi S. Pandya

5.9k citations
69 papers · 2.1k indexed · 3 hit papers · h-index 19
Topics
Glioma Diagnosis and Treatment (15 papers)Pancreatic and Hepatic Oncology Research (15 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (13 papers)
Partner nations
United StatesFranceSpain

In The Last Decade

Shuchi S. Pandya

64 papers receiving 2.1k citations

Hit Papers

CSF Concentration of the Anaplastic Lymphoma Kinase Inhib...2011202620162021201120222023100200300400

Peers

Shuchi S. Pandya
Comparison fields: 5 of 77
  • Oncology 980
  • Pulmonary and Respiratory Medicine 900
  • Molecular Biology 895
  • Genetics 444
  • Cancer Research 365
Replace Tobias Dechow with:
Tobias Dechow Germany
Leslie B. Lee United States
Patricia LoRusso United States
Garry Schwartz United States
Marta Salido Spain
Raja Luthra United States
Wolfgang Eisterer Austria
Susanna Cappia Italy
Nicole Mentens Belgium
Carlos Gomez‐Roca France
Shuchi S. Pandya relative to Tobias Dechow Germany Tobias Dechow's profile →
Citations per field
00.5×
Tobias Dechow · 1×
Citations per year

Countries citing papers authored by Shuchi S. Pandya

Since Specialization
Citations

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

Fields of papers citing papers by Shuchi S. Pandya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuchi S. Pandya. 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 Shuchi S. Pandya. The network helps show where Shuchi S. Pandya may publish in the future.

Co-authorship network of co-authors of Shuchi S. Pandya

This figure shows the co-authorship network connecting the top 25 collaborators of Shuchi S. Pandya. A scholar is included among the top collaborators of Shuchi S. Pandya 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 Shuchi S. Pandya. Shuchi S. Pandya 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 0
2 2
3 2
4 4
5 0
6 0
7 5
8 2
9
Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trialbreakdown →
111
10 1
11 71
12 5
13 12
14 1
15 21
16 125
17 2
18 123
19 5
20 57

About Shuchi S. Pandya

Shuchi S. Pandya is a scholar working on Genetics, Cancer Research and Oncology, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Pancreatic and Hepatic Oncology Research (15 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (13 papers). The work is most often cited by research in Genetics (444 citations), Oncology (980 citations) and Pulmonary and Respiratory Medicine (900 citations). Shuchi S. Pandya has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Weiwei Tan, Keith D. Wilner, Zhongzhou Shen, Susumu Kobayashi, Wee-Lee Yeo, Daniel B. Costa, Geoffrey I. Shapiro, James M. Cleary, Eunice L. Kwak and Camelia Gliser. Their work appears in journals such as New England Journal of Medicine, Nature Medicine and Journal of Clinical Oncology.

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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