Vikas Prasad

6.2k total citations · 1 hit paper
172 papers, 3.6k citations indexed

About

Vikas Prasad is a scholar working on Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vikas Prasad has authored 172 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Oncology, 82 papers in Epidemiology and 66 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vikas Prasad's work include Neuroendocrine Tumor Research Advances (77 papers), Lung Cancer Research Studies (56 papers) and Neuroblastoma Research and Treatments (55 papers). Vikas Prasad is often cited by papers focused on Neuroendocrine Tumor Research Advances (77 papers), Lung Cancer Research Studies (56 papers) and Neuroblastoma Research and Treatments (55 papers). Vikas Prasad collaborates with scholars based in Germany, United States and Switzerland. Vikas Prasad's co-authors include Richard P. Baum, Merten Hommann, Winfried Brenner, Daniel Kaemmerer, Timm Denecke, Christiane Schuchardt, Marcus R. Makowski, Dirk Müller, Harshad Kulkarni and Valentina Ambrosini and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Vikas Prasad

161 papers receiving 3.5k citations

Hit Papers

European Neuroendocrine T... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vikas Prasad 1.9k 1.8k 1.3k 1.2k 934 172 3.6k
Jianping Lu 953 0.5× 642 0.4× 419 0.3× 1.3k 1.1× 1.3k 1.4× 201 3.3k
Ludwig G. Strauss 1.3k 0.7× 597 0.3× 459 0.4× 3.1k 2.5× 1.6k 1.7× 147 5.3k
Clemens C. Cyran 432 0.2× 698 0.4× 449 0.4× 922 0.7× 1.0k 1.1× 126 2.6k
Daniel Putzer 745 0.4× 774 0.4× 470 0.4× 720 0.6× 393 0.4× 77 2.1k
Samuel T. Chao 2.4k 1.2× 1.6k 0.9× 589 0.5× 876 0.7× 4.4k 4.7× 302 7.0k
Deborah T. Blumenthal 617 0.3× 560 0.3× 585 0.5× 781 0.6× 976 1.0× 120 3.5k
Noah C. Choi 1.8k 0.9× 675 0.4× 522 0.4× 2.1k 1.7× 3.7k 3.9× 118 6.1k
Rita Engenhart‐Cabillic 926 0.5× 1.0k 0.6× 605 0.5× 835 0.7× 2.7k 2.9× 193 5.1k
C. Carrié 2.0k 1.1× 1.1k 0.6× 760 0.6× 1.1k 0.9× 4.5k 4.9× 215 7.5k
Diana F. Nelson 690 0.4× 778 0.4× 1.4k 1.1× 907 0.7× 1.7k 1.9× 50 4.6k

Countries citing papers authored by Vikas Prasad

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Prasad. A scholar is included among the top collaborators of Vikas Prasad 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 Vikas Prasad. Vikas Prasad 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.
Kühnen, Peter, K Rothe, Kathrin Hauptmann, et al.. (2025). [68Ga] labelled Exendin for radioguided surgery of intrapancreatic insulin producing lesions in patients with congenital hyperinsulinism. EJNMMI Research. 15(1). 107–107.
2.
Kidd, Mark, Ignat Drozdov, Alin Chirindel, et al.. (2025). NETest ® 2.0—A decade of innovation in neuroendocrine tumor diagnostics. Journal of Neuroendocrinology. 37(4). e70002–e70002. 2 indexed citations
3.
Puranik, Ameya, et al.. (2025). Frontiers in radiopharmaceuticals for neuroendocrine tumors. Journal of Neuroendocrinology. 37(3). e70006–e70006.
4.
Sharma, Dharmendra, et al.. (2025). Sustainability Through Connectivity: IoT Influence on Agriculture. Journal of Computer Science. 21(1). 96–110.
5.
Trikalinos, Nikolaos A., et al.. (2024). Use of approved Lu ‐177 radiopharmaceuticals in patients with end‐stage renal disease: A review of the literature and proposed treatment algorithm. Journal of Neuroendocrinology. 36(6). e13393–e13393. 3 indexed citations
6.
Yılmaz, Burçak, et al.. (2024). Theranostics in Neuroendocrine Tumors: Updates and Emerging Technologies. Current Problems in Cancer. 52. 101129–101129. 1 indexed citations
7.
İnce, Semra, Richard Laforest, Malak Itani, et al.. (2024). Patlak Slope versus Standardized Uptake Value Image Quality in an Oncologic PET/CT Population: A Prospective Cross-Sectional Study. Diagnostics. 14(9). 883–883. 1 indexed citations
8.
Puranik, Ameya, et al.. (2024). Current and Future Perspectives of PDL1 PET and SPECT Imaging. Seminars in Nuclear Medicine. 54(6). 966–975. 3 indexed citations
9.
Singh, Manmohan, et al.. (2023). A Drug-Target Interaction Prediction Based on Supervised Probabilistic Classification. Journal of Computer Science. 19(10). 1203–1211. 6 indexed citations
10.
Singh, Baljinder, et al.. (2023). India's Growing Nuclear Medicine Infrastructure and Emergence of Radiotheranostics in Cancer Care: Associated Challenges and the Opportunities to Collaborate. Indian Journal of Nuclear Medicine. 38(3). 201–207. 4 indexed citations
11.
Becker, Jürgen C., Ambros J. Beer, Thomas Eigentler, et al.. (2023). S2k‐Leitlinie – Merkelzellkarzinom – Update 2022. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 21(3). 305–317. 2 indexed citations
12.
Grozinsky‐Glasberg, Simona, Joseph Davar, Johannes Hofland, et al.. (2022). European Neuroendocrine Tumor Society ( ENETS ) 2022 Guidance Paper for Carcinoid Syndrome and Carcinoid Heart Disease. Journal of Neuroendocrinology. 34(7). e13146–e13146. 76 indexed citations
13.
Hicks, Rodney J., Clarisse Dromain, Wouter W. de Herder, et al.. (2021). ENETS standardized (synoptic) reporting for molecular imaging studies in neuroendocrine tumours. Journal of Neuroendocrinology. 34(3). e13040–e13040. 13 indexed citations
14.
Dromain, Clarisse, Marie‐Pierre Vullierme, Rodney J. Hicks, et al.. (2021). ENETS standardized (synoptic) reporting for radiological imaging in neuroendocrine tumours. Journal of Neuroendocrinology. 34(3). e13044–e13044. 13 indexed citations
15.
Puranik, Ameya, Clarisse Dromain, Neil Fleshner, et al.. (2021). Target Heterogeneity in Oncology: The Best Predictor for Differential Response to Radioligand Therapy in Neuroendocrine Tumors and Prostate Cancer. Cancers. 13(14). 3607–3607. 19 indexed citations
16.
Prasad, Vikas, et al.. (2021). Effect of Peptide Dose on Radiation Dosimetry for Peptide Receptor Radionuclide Therapy with 177Lu-DOTATOC. Indian Journal of Nuclear Medicine. 36(4). 412–421. 1 indexed citations
17.
Prasad, Vikas, et al.. (2016). An Effective Healthcare Management Frame work in Cloud Computing Environment. 3(1). 1 indexed citations
18.
Kaemmerer, Daniel, Luisa Peter, Amelie Lupp, et al.. (2012). Comparing of IRS and Her2 as immunohistochemical scoring schemes in gastroenteropancreatic neuroendocrine tumors.. PubMed. 5(3). 187–94. 114 indexed citations
19.
Shet, Vinay, Vikas Prasad, Ahmed Elgammal, Yaser Yacoob, & Larry S. Davis. (2004). Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition.. 656–662. 11 indexed citations
20.
Prasad, Vikas, et al.. (2002). Feature Selection in Example-Based Image Retrieval Systems.. 5 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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