Venkata Manem

2.0k total citations
43 papers, 379 citations indexed

About

Venkata Manem is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Venkata Manem has authored 43 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in Venkata Manem's work include Radiomics and Machine Learning in Medical Imaging (16 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Neuroendocrine Tumor Research Advances (5 papers). Venkata Manem is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Neuroendocrine Tumor Research Advances (5 papers). Venkata Manem collaborates with scholars based in Canada, United States and France. Venkata Manem's co-authors include Benjamin Haibe‐Kains, Seyed Ali Madani Tonekaboni, Laleh Soltan Ghoraie, Mohammad Kohandel, S. Sivaloganathan, Philippe Joubert, Andrew Dhawan, Michèle Orain, François Coulombe and Kamran Kaveh and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer Research.

In The Last Decade

Venkata Manem

42 papers receiving 375 citations

Peers

Venkata Manem

ONCOL

RNMI

PRM

Sanju Sinha United States

Manish Thakur India

Matthew McCoy United States

Kelly Regan United States

Eliezer Shochat Switzerland

Hong Lü United States

Nicolas Frances Switzerland

Michelle S. Miller United States

Clare Lamont United States

Su Yun Chung United States

Sanju Sinha United States

Venkata Manem

259 ×1.8

116 ×0.9

ONCOL

45 ×0.5

RNMI

59 ×0.8

PRM

106 ×1.7

Citations per year, relative to Venkata Manem Venkata Manem (= 1×) peers Sanju Sinha

Countries citing papers authored by Venkata Manem

Since Specialization

Citations

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

Fields of papers citing papers by Venkata Manem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkata Manem

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Yifan, et al.. (2025). A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort. Scientific Reports. 15(1). 1736–1736. 2 indexed citations

Secco, Blandine, Michel Rochette, Mark A. Hardy, et al.. (2025). Loss of VSTM2A promotes adipocyte hypertrophy and disrupts metabolic homeostasis. Obesity. 33(3). 522–536. 1 indexed citations

Jiang, Yifan, et al.. (2025). Lung-DDPM: Semantic Layout-Guided Diffusion Models for Thoracic CT Image Synthesis. IEEE Transactions on Biomedical Engineering. 73(3). 1134–1145. 1 indexed citations

Agharazii, Mohsen, et al.. (2025). Radiomics‐based kidney lesion classification: Mitigating batch effect with nested combat harmonization. Medical Physics. 52(9). e18070–e18070.

Jiang, Yifan & Venkata Manem. (2025). Data augmented lung cancer prediction framework using the nested case control NLST cohort. Frontiers in Oncology. 15. 1492758–1492758. 3 indexed citations

Lamaze, Fabien C., Jean-François Haince, Michèle Orain, et al.. (2024). Metabolomic Profiling of Pulmonary Neuroendocrine Neoplasms. Cancers. 16(18). 3179–3179. 1 indexed citations

Lamaze, Fabien C., Michèle Orain, François Coulombe, et al.. (2024). The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study. Cancers. 16(2). 348–348. 5 indexed citations

Vahidian, Fatemeh, Fabien C. Lamaze, Andréanne Gagné, et al.. (2024). CXCL13 Positive Cells Localization Predict Response to Anti-PD-1/PD-L1 in Pulmonary Non-Small Cell Carcinoma. Cancers. 16(4). 708–708. 7 indexed citations

Orain, Michèle, et al.. (2024). Sensitivity of CT-derived radiomic features to extraction libraries and gray-level discretization in the context of immune biomarker discovery. British Journal of Radiology. 97(1164). 1982–1991. 1 indexed citations

10.

Lamaze, Fabien C., Michèle Orain, François Coulombe, et al.. (2023). A Radiomics-Clinical Model Predicts Overall Survival of Non-Small Cell Lung Cancer Patients Treated with Immunotherapy: A Multicenter Study. Cancers. 15(15). 3829–3829. 11 indexed citations

11.

Orain, Michèle, François Coulombe, Julie Malo, et al.. (2023). Radiomics approaches to predict PD-L1 and PFS in advanced non-small cell lung patients treated with immunotherapy: a multi-institutional study. Scientific Reports. 13(1). 11065–11065. 15 indexed citations

12.

Sazonova, Olga V., Venkata Manem, Michèle Orain, et al.. (2020). Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitotic counts. Modern Pathology. 33(9). 1712–1721. 14 indexed citations

13.

Mansoori, Babak Khoshkrood, Michèle Orain, Christian Couture, et al.. (2020). Phospho-histone-H3 immunostaining for pulmonary carcinoids: impact on clinical appraisal, interobserver correlation, and diagnostic processing efficiency. Human Pathology. 106. 74–81. 3 indexed citations

14.

Manem, Venkata, Ian C. P. Smith, Petr Smirnov, et al.. (2019). Modeling Cellular Response in Large-Scale Radiogenomic Databases to Advance Precision Radiotherapy. Cancer Research. 79(24). 6227–6237. 19 indexed citations

15.

Tonekaboni, Seyed Ali Madani, Venkata Manem, Nehmé El-Hachem, & Benjamin Haibe‐Kains. (2019). SIGN: similarity identification in gene expression. Bioinformatics. 35(22). 4830–4833. 3 indexed citations

16.

Manem, Venkata & Andrew Dhawan. (2019). RadiationGeneSigDB : a database of oxic and hypoxic radiation response gene signatures and their utility in pre-clinical research. British Journal of Radiology. 92(1103). 20190198–20190198. 8 indexed citations

17.

Manem, Venkata, George Alexandru Adam, Tina Gruosso, et al.. (2018). CrosstalkNet: A Visualization Tool for Differential Co-expression Networks and Communities. Cancer Research. 78(8). 2140–2143. 1 indexed citations

18.

Yao, Fupan, Seyed Ali Madani Tonekaboni, Zhaleh Safikhani, et al.. (2017). Tissue specificity of in vitro drug sensitivity. Journal of the American Medical Informatics Association. 25(2). 158–166. 16 indexed citations

19.

Gruosso, Tina, Mathieu Gigoux, Nicholas Bertos, et al.. (2017). Distinct immune microenvironments stratify triple-negative breast cancer and predict outcome. Annals of Oncology. 28. i16–i16. 5 indexed citations

20.

Kaveh, Kamran, Venkata Manem, Mohammad Kohandel, & S. Sivaloganathan. (2014). Modeling age-dependent radiation-induced second cancer risks and estimation of mutation rate: an evolutionary approach. Radiation and Environmental Biophysics. 54(1). 25–36. 4 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.

Explore authors with similar magnitude of impact