Divyansh Agarwal

2.0k total citations
65 papers, 824 citations indexed

About

Divyansh Agarwal is a scholar working on Surgery, Molecular Biology and Immunology. According to data from OpenAlex, Divyansh Agarwal has authored 65 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 9 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Divyansh Agarwal's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Hernia repair and management (5 papers). Divyansh Agarwal is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Hernia repair and management (5 papers). Divyansh Agarwal collaborates with scholars based in United States, India and China. Divyansh Agarwal's co-authors include Nancy R. Zhang, Yuguo Yu, Fahmeed Hyder, Douglas L. Rothman, Péter Hermán, Sanjay Kumar Dhurandher, Deepak Kumar Sharma, Jingshu Wang, Zilu Zhou and Mo Huang and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Divyansh Agarwal

53 papers receiving 817 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Divyansh Agarwal United States 13 277 116 110 74 73 65 824
Yuanyuan Mi China 21 574 2.1× 98 0.8× 138 1.3× 72 1.0× 163 2.2× 129 1.6k
Eran Sharon Israel 19 170 0.6× 211 1.8× 134 1.2× 58 0.8× 354 4.8× 60 1.5k
Jorge Aranda Mexico 16 243 0.9× 41 0.4× 45 0.4× 47 0.6× 30 0.4× 29 807
Michio Yamamoto Japan 18 668 2.4× 264 2.3× 325 3.0× 100 1.4× 40 0.5× 92 1.7k
Ching‐Ting Tan Taiwan 24 570 2.1× 244 2.1× 135 1.2× 48 0.6× 12 0.2× 76 1.7k
Salman Azhar United States 16 147 0.5× 75 0.6× 100 0.9× 54 0.7× 12 0.2× 31 1.0k
Stefan Buchholz Germany 24 314 1.1× 121 1.0× 60 0.5× 193 2.6× 33 0.5× 82 1.4k
Chintan Shah United States 20 212 0.8× 70 0.6× 50 0.5× 14 0.2× 11 0.2× 71 1.1k
Valentin Dinu United States 14 249 0.9× 47 0.4× 36 0.3× 136 1.8× 24 0.3× 32 550
Randall Pruim United States 9 572 2.1× 143 1.2× 126 1.1× 724 9.8× 16 0.2× 19 1.8k

Countries citing papers authored by Divyansh Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Divyansh Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divyansh Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Divyansh Agarwal. A scholar is included among the top collaborators of Divyansh Agarwal 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 Divyansh Agarwal. Divyansh Agarwal 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
1.
Fabbri, Alexander R., et al.. (2025). Evaluating Cultural and Social Awareness of LLM Web Agents. 3978–4005. 1 indexed citations
2.
Agarwal, Divyansh, et al.. (2025). Comparison of open and laparo-endoscopic repair techniques for patients with bilateral inguinal hernias. Hernia. 29(1). 194–194. 1 indexed citations
3.
Agarwal, Divyansh. (2025). Explainable AI in Cancer Diagnosis: Enhancing Interpretability with SHAP on Benign and Malignant Tumor Detection. International Journal for Research in Applied Science and Engineering Technology. 13(1). 1394–1402.
4.
Agarwal, Divyansh, Anush Sridharan, Abby C. Larson, et al.. (2024). Unique model of chronic hypoxia in fetal lambs demonstrates abnormal contrast-enhanced ultrasound brain perfusion. Pediatric Research. 97(1). 145–152. 1 indexed citations
5.
Agarwal, Divyansh, Karen Flanders, Erin Coglianese, et al.. (2024). A second chance for a new heart? The role of metabolic and bariatric surgery in patients with end-stage heart failure. Journal of Gastrointestinal Surgery. 28(4). 389–393. 1 indexed citations
6.
Agarwal, Divyansh, et al.. (2023). Forecasting Geo Location of COVID-19 Herd. Pertanika journal of science & technology. 31(4).
7.
Korutla, Laxminarayana, Jessica R. Hoffman, Susan Rostami, et al.. (2023). Circulating T cell specific extracellular vesicle profiles in cardiac allograft acute cellular rejection. American Journal of Transplantation. 24(3). 419–435. 2 indexed citations
8.
Robinson, Malcolm K., et al.. (2023). Impact of climate change on surgery: A scoping review to define existing knowledge and identify gaps. SHILAP Revista de lepidopterología. 15. 100285–100285. 3 indexed citations
9.
10.
Larson, Abby C., Ryne A. Didier, Jonathan Chang, et al.. (2022). The fetal lamb model of congenital diaphragmatic hernia shows altered cerebral perfusion using contrast enhanced ultrasound. Journal of Pediatric Surgery. 57(6). 991–998. 5 indexed citations
11.
Fu, Qiang, Guoli Huai, Ji Lei, et al.. (2022). Suppression of allograft rejection by regulatory B cells induced via TLR signaling. JCI Insight. 7(17). 12 indexed citations
12.
Agarwal, Divyansh, et al.. (2021). PTGES3 is a Putative Prognostic Marker in Breast Cancer. Journal of Surgical Research. 271. 154–162. 11 indexed citations
13.
Fu, Qiang, Divyansh Agarwal, Rudy Matheson, et al.. (2021). An Unbiased Machine Learning Exploration Reveals Gene Sets Predictive of Allograft Tolerance After Kidney Transplantation. Frontiers in Immunology. 12. 695806–695806. 13 indexed citations
14.
Yu, Ming, Divyansh Agarwal, Laxminarayana Korutla, et al.. (2020). Islet transplantation in the subcutaneous space achieves long-term euglycaemia in preclinical models of type 1 diabetes. Nature Metabolism. 2(10). 1013–1020. 75 indexed citations
15.
Lamba, Hemank, et al.. (2017). From Camera to Deathbed: Understanding Dangerous Selfies on Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 576–579. 5 indexed citations
16.
Silvestre, Jason, Divyansh Agarwal, & David I. Lee. (2016). Analysis of National Institutes of Health Funding to Departments of Urology. Urology. 91. 6–11. 11 indexed citations
17.
Safonov, Anton, Shi‐Yi Wang, Cary P. Gross, et al.. (2016). Assessing cost-utility of predictive biomarkers in oncology: a streamlined approach. Breast Cancer Research and Treatment. 155(2). 223–234. 3 indexed citations
18.
Agarwal, Divyansh, Yuan Qi, Tingting Jiang, et al.. (2015). Characterization of DNA variants in the human kinome in breast cancer. Scientific Reports. 5(1). 14736–14736. 2 indexed citations
19.
Agarwal, Divyansh, Christos Hatzis, & Lajos Pusztai. (2015). Functional polymorphisms in cancer. Oncoscience. 2(2). 73–74.
20.
Agarwal, Divyansh. (2006). Health Sector Reforms: Relevance in India. SHILAP Revista de lepidopterología.

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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