Ashu Shah

700 total citations
19 papers, 401 citations indexed

About

Ashu Shah is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Ashu Shah has authored 19 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Ashu Shah's work include Pancreatic and Hepatic Oncology Research (10 papers), Glycosylation and Glycoproteins Research (4 papers) and Cancer Cells and Metastasis (4 papers). Ashu Shah is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Glycosylation and Glycoproteins Research (4 papers) and Cancer Cells and Metastasis (4 papers). Ashu Shah collaborates with scholars based in United States, India and Saudi Arabia. Ashu Shah's co-authors include Surinder K. Batra, Sanchita Rauth, Moorthy P. Ponnusamy, Maneesh Jain, Imayavaramban Lakshmanan, Abhijit Aithal, Prakash Kshirsagar, Wade M. Junker, Sukhwinder Kaur and Koelina Ganguly and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Research and Clinical Cancer Research.

In The Last Decade

Ashu Shah

18 papers receiving 398 citations

Peers

Ashu Shah

MB

ONCOL

IMMUN

CR

PRM

Delphine Quatannens Belgium

Henrique O. Duarte Portugal

Atsushi Fushimi Japan

Francis G Gabriel United Kingdom

Svetlana Miklikova Slovakia

Nikko Brix Germany

Maša Alečković United States

Frank Leon United States

Eric H.‐B. Huang United States

Delphine Quatannens Belgium

Ashu Shah

211 ×0.9

MB

220 ×1.3

ONCOL

112 ×1.2

IMMUN

87 ×1.1

CR

60 ×1.1

PRM

Citations per year, relative to Ashu Shah Ashu Shah (= 1×) peers Delphine Quatannens

Countries citing papers authored by Ashu Shah

Since Specialization

Citations

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

Fields of papers citing papers by Ashu Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashu Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Ashu Shah. A scholar is included among the top collaborators of Ashu 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 Ashu Shah. Ashu Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

1.

Chaudhary, Sanjib, Ashu Shah, Gopalakrishnan Natarajan, et al.. (2025). ST6GalNAc-I regulates tumor cell sialylation via NECTIN2/MUC5AC-mediated immunosuppression and angiogenesis in non–small cell lung cancer. Journal of Clinical Investigation. 135(10). 5 indexed citations

2.

Shah, Ashu, et al.. (2025). Emerging pathways yielding opportunities for future treatments in pancreatic ductal adenocarcinoma. Expert Opinion on Therapeutic Targets. 29(6). 309–326.

3.

Shah, Ashu, Koelina Ganguly, Sanchita Rauth, et al.. (2024). Unveiling the resistance to therapies in pancreatic ductal adenocarcinoma. Drug Resistance Updates. 77. 101146–101146. 9 indexed citations

4.

Atri, Pranita, Ashu Shah, Satyanarayana Rachagani, et al.. (2024). Connectivity mapping-based identification of pharmacological inhibitor targeting HDAC6 in aggressive pancreatic ductal adenocarcinoma. npj Precision Oncology. 8(1). 66–66. 2 indexed citations

5.

Shah, Ashu, Rahat Jahan, Pranita Atri, et al.. (2024). Secretory Trefoil Factor 1 (TFF1) promotes gemcitabine resistance through chemokine receptor CXCR4 in Pancreatic Ductal Adenocarcinoma. Cancer Letters. 598. 217097–217097. 3 indexed citations

6.

Atri, Pranita, Ashu Shah, Jesse L. Cox, et al.. (2023). A Novel HOXA10 -Associated 5-Gene–Based Prognostic Signature for Stratification of Short-term Survivors of Pancreatic Ductal Adenocarcinoma. Clinical Cancer Research. 29(18). 3759–3770. 7 indexed citations

7.

Chaudhary, Sanjib, Shailendra Kumar Maurya, Palanisamy Nallasamy, et al.. (2023). MUC16 promotes triple-negative breast cancer lung metastasis by modulating RNA-binding protein ELAVL1/HUR. Breast Cancer Research. 25(1). 25–25. 18 indexed citations

8.

Marimuthu, Saravanakumar, Imayavaramban Lakshmanan, Sakthivel Muniyan, et al.. (2022). MUC16 Promotes Liver Metastasis of Pancreatic Ductal Adenocarcinoma by Upregulating NRP2-Associated Cell Adhesion. Molecular Cancer Research. 20(8). 1208–1221. 21 indexed citations

9.

Ganguly, Koelina, Ashu Shah, Pranita Atri, et al.. (2022). Chemokine-mucinome interplay in shaping the heterogeneous tumor microenvironment of pancreatic cancer. Seminars in Cancer Biology. 86(Pt 2). 511–520. 18 indexed citations

10.

Kshirsagar, Prakash, Parthasarathy Seshacharyulu, Sakthivel Muniyan, et al.. (2022). DNA-gold nanoprobe-based integrated biosensing technology for non-invasive liquid biopsy of serum miRNA: A new frontier in prostate cancer diagnosis. Nanomedicine Nanotechnology Biology and Medicine. 43. 102566–102566. 11 indexed citations

11.

Zhang, Chunmeng, Pranita Atri, Palanisamy Nallasamy, et al.. (2022). Small molecule inhibitor against onco-mucins disrupts Src/FosL1 axis to enhance gemcitabine efficacy in pancreatic ductal adenocarcinoma. Cancer Letters. 551. 215922–215922. 8 indexed citations

12.

Pothuraju, Ramesh, et al.. (2021). Implications of prognosis-associated genes in pancreatic tumor metastasis: lessons from global studies in bioinformatics. Cancer and Metastasis Reviews. 40(3). 721–738. 14 indexed citations

13.

Shah, Ashu, Sanchita Rauth, Abhijit Aithal, et al.. (2020). The Current Landscape of Antibody-based Therapies in Solid Malignancies. Theranostics. 11(3). 1493–1512. 30 indexed citations

14.

Jahan, Rahat, Ashu Shah, Muzafar A. Macha, et al.. (2020). Odyssey of trefoil factors in cancer: Diagnostic and therapeutic implications. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1873(2). 188362–188362. 23 indexed citations

15.

Ganguly, Koelina, Shiv Ram Krishn, Rahat Jahan, et al.. (2020). Secretory Mucin 5AC Promotes Neoplastic Progression by Augmenting KLF4-Mediated Pancreatic Cancer Cell Stemness. Cancer Research. 81(1). 91–102. 54 indexed citations

16.

Rauth, Sanchita, Saswati Karmakar, Ashu Shah, et al.. (2019). Abstract 4438: Role of post translational modification of PAF1/PD2 in gemcitabine resistance of pancreatic cancer. 4438–4438. 1 indexed citations

17.

Rauth, Sanchita, Saswati Karmakar, Ashu Shah, et al.. (2019). Abstract 4438: Role of post translational modification of PAF1/PD2 in gemcitabine resistance of pancreatic cancer. Cancer Research. 79(13_Supplement). 4438–4438. 2 indexed citations

18.

Aithal, Abhijit, Sanchita Rauth, Prakash Kshirsagar, et al.. (2018). MUC16 as a novel target for cancer therapy. Expert Opinion on Therapeutic Targets. 22(8). 675–686. 161 indexed citations

19.

Dubey, Vikash Kumar, Ashu Shah, Medicherla V. Jagannadham, & Arvind M. Kayastha. (2006). Effect of Organic Solvents on the Molten Globule State of Procerain: β-Sheet to α-Helix Switchover in Presence of Trifluoroethanol. Protein and Peptide Letters. 13(6). 545–547. 14 indexed citations

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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