Raju Vaddepally

1.3k total citations · 1 hit paper
10 papers, 997 citations indexed

About

Raju Vaddepally is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Raju Vaddepally has authored 10 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Raju Vaddepally's work include Cancer Immunotherapy and Biomarkers (3 papers), Vascular Tumors and Angiosarcomas (1 paper) and Acute Myeloid Leukemia Research (1 paper). Raju Vaddepally is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Vascular Tumors and Angiosarcomas (1 paper) and Acute Myeloid Leukemia Research (1 paper). Raju Vaddepally collaborates with scholars based in United States and India. Raju Vaddepally's co-authors include Rohan Garje, Abhinav Chandra, Prakash Kharel, Ramesh Kumar Pandey, Yousef Zakharia, Haythem Ali, Madhu P. Menon, Francis M. Senecal, Philip Kuriakose and Bonita Singal and has published in prestigious journals such as Journal of Clinical Oncology, Cancers and Frontiers in Oncology.

In The Last Decade

Raju Vaddepally

10 papers receiving 986 citations

Hit Papers

Review of Indications of ... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raju Vaddepally United States 5 745 352 246 202 108 10 997
Prakash Kharel United States 6 739 1.0× 342 1.0× 205 0.8× 249 1.2× 93 0.9× 13 1.0k
Pushpamali De Silva Belgium 21 708 1.0× 478 1.4× 286 1.2× 211 1.0× 129 1.2× 36 1.1k
Zhuoran Yao China 8 660 0.9× 254 0.7× 220 0.9× 133 0.7× 66 0.6× 19 817
Shogo Kumagai Japan 15 450 0.6× 254 0.7× 389 1.6× 216 1.1× 144 1.3× 37 1.0k
Ewa Kalinka‐Warzocha Poland 18 504 0.7× 187 0.5× 363 1.5× 160 0.8× 169 1.6× 91 944
Maria Pilar Andueza Spain 7 602 0.8× 549 1.6× 186 0.8× 196 1.0× 117 1.1× 12 951
Xiwen Bi China 14 392 0.5× 239 0.7× 128 0.5× 103 0.5× 117 1.1× 46 725
Marta Santisteban Spain 16 582 0.8× 161 0.5× 134 0.5× 308 1.5× 264 2.4× 55 957
Junko Ozao‐Choy United States 14 710 1.0× 693 2.0× 193 0.8× 237 1.2× 120 1.1× 48 1.3k
Charlotte Domblides France 14 404 0.5× 205 0.6× 236 1.0× 201 1.0× 105 1.0× 45 734

Countries citing papers authored by Raju Vaddepally

Since Specialization
Citations

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

Fields of papers citing papers by Raju Vaddepally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raju Vaddepally

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

All Works

10 of 10 papers shown
2.
Vaddepally, Raju, et al.. (2022). Myelodysplastic Syndrome in a Patient With Common Variable Immunodeficiency: A Rare Occurrence. Cureus. 14(9). e28690–e28690. 3 indexed citations
3.
Barve, Minal, Victor Priego, Francis M. Senecal, et al.. (2021). The TIME Trial Network to facilitate rapid clinical trial activation, patient screening, and enrollment in molecularly targeted trials.. Journal of Clinical Oncology. 39(15_suppl). 1563–1563. 2 indexed citations
4.
Garje, Rohan, et al.. (2020). The Future of Immunotherapy-Based Combination Therapy in Metastatic Renal Cell Carcinoma. Cancers. 12(1). 143–143. 39 indexed citations
5.
Garje, Rohan, Raju Vaddepally, & Yousef Zakharia. (2020). PARP Inhibitors in Prostate and Urothelial Cancers. Frontiers in Oncology. 10. 114–114. 13 indexed citations
6.
Vaddepally, Raju, Prakash Kharel, Ramesh Kumar Pandey, Rohan Garje, & Abhinav Chandra. (2020). Review of Indications of FDA-Approved Immune Checkpoint Inhibitors per NCCN Guidelines with the Level of Evidence. Cancers. 12(3). 738–738. 895 indexed citations breakdown →
7.
Vaddepally, Raju, et al.. (2019). A rare case of follicular lymphoma transformed to a high‐grade B‐cell lymphoma in orbit. Clinical Case Reports. 7(5). 1053–1056. 2 indexed citations
8.
Vaddepally, Raju, et al.. (2018). Unexplained pancytopenia in acute myeloid leukemia treatment. Clinical Case Reports. 6(8). 1504–1506. 2 indexed citations
9.
Vaddepally, Raju, et al.. (2018). Institutional adherence to National Comprehensive Cancer Network (NCCN) guidelines in neoadjuvant treatment of breast cancer and its correlation to outcomes.. Journal of Clinical Oncology. 36(30_suppl). 47–47. 6 indexed citations
10.
Vaddepally, Raju, et al.. (2015). Impact of single day multidisciplinary clinics on the lead time from diagnosis to initiation of treatment in head and neck cancers.. Journal of Clinical Oncology. 33(15_suppl). e17523–e17523. 1 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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