Anushi Shah

1.3k total citations
26 papers, 793 citations indexed

About

Anushi Shah is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Anushi Shah has authored 26 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Anushi Shah's work include Biomedical Text Mining and Ontologies (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related molecular mechanisms research (2 papers). Anushi Shah is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related molecular mechanisms research (2 papers). Anushi Shah collaborates with scholars based in United States, Australia and Norway. Anushi Shah's co-authors include Hua Xu, Joshua C. Denny, John E. Pimanda, Laura K. Wiley, Jason W.H. Wong, William S. Bush, Dominik Beck, Rebecca C. Poulos, D. S. Perera and Qingxia Chen and has published in prestigious journals such as Nature, Blood and Cancer Research.

In The Last Decade

Anushi Shah

23 papers receiving 778 citations

Peers

Anushi Shah
Comparison fields: 5 of 100
  • Molecular Biology 431
  • Artificial Intelligence 155
  • Cancer Research 121
  • Oncology 91
  • Health Information Management 77
Replace Susan Weber with:
Susan Weber United States
Ravi Shankar United States
Stephen B. Ellis United States
Nicolas Jay France
Jeffrey G. Suico United States
James D. Cowan United States
Yutian Chong China
Todd Ferris United States
Xiaoyang Ruan United States
Fabrizio Consorti Italy
Susan Weber United States View profile →
Citations per field, relative to Anushi Shah
Anushi Shah · 1×
Citations per year, relative to Anushi Shah
Anushi Shah · 1×

Countries citing papers authored by Anushi Shah

Since Specialization
Citations

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

Fields of papers citing papers by Anushi Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anushi Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Anushi Shah. A scholar is included among the top collaborators of Anushi Shah 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 Anushi Shah. Anushi Shah 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
# Work Indexed citations
1 0
2 1
3 1
4 22
5 4
6 10
7 144
8 8
9 19
10 1
11 18
12
Extracting and standardizing medication information in clinical text - the MedEx-UIMA system.
29
13 20
14 117
15 82
16
Electronic health record data suggests metformin improves cancer survival: A new model for drug repurposing studies.
1
17
A study of transportability of an existing smoking status detection module across institutions.
35
18 1
19 42
20 1

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