Dibson Gondim

745 total citations
30 papers, 409 citations indexed

About

Dibson Gondim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Dibson Gondim has authored 30 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Artificial Intelligence. Recurrent topics in Dibson Gondim's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Renal cell carcinoma treatment (7 papers) and AI in cancer detection (7 papers). Dibson Gondim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Renal cell carcinoma treatment (7 papers) and AI in cancer detection (7 papers). Dibson Gondim collaborates with scholars based in United States, United Arab Emirates and Egypt. Dibson Gondim's co-authors include Liang Cheng, Ayman El‐Baz, Sean R. Williamson, David J. Grignon, Ronald S. Boris, Fahmi Khalifa, Mohammed Ghazal, Muhammad T. Idrees, Joseph M Jacob and Richard M. Levenson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and CHEST Journal.

In The Last Decade

Dibson Gondim

28 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dibson Gondim United States 11 175 121 92 76 72 30 409
Qiugen Hu China 11 136 0.8× 37 0.3× 188 2.0× 27 0.4× 28 0.4× 35 477
Huashan Lin China 10 76 0.4× 69 0.6× 164 1.8× 21 0.3× 37 0.5× 34 328
Jung Min Bae South Korea 8 55 0.3× 25 0.2× 140 1.5× 67 0.9× 36 0.5× 15 308
Donghui Guo China 8 54 0.3× 58 0.5× 69 0.8× 24 0.3× 63 0.9× 22 325
Yuexin Tong China 11 138 0.8× 30 0.2× 39 0.4× 31 0.4× 25 0.3× 34 310
D.F. Hicks United States 5 45 0.3× 47 0.4× 68 0.7× 25 0.3× 15 0.2× 6 257
Jieun Koh South Korea 13 68 0.4× 27 0.2× 189 2.1× 17 0.2× 12 0.2× 25 394
Sevim Baykal Koca Türkiye 10 328 1.9× 55 0.5× 255 2.8× 30 0.4× 6 0.1× 23 467

Countries citing papers authored by Dibson Gondim

Since Specialization
Citations

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

Fields of papers citing papers by Dibson Gondim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dibson Gondim

This figure shows the co-authorship network connecting the top 25 collaborators of Dibson Gondim. A scholar is included among the top collaborators of Dibson Gondim 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 Dibson Gondim. Dibson Gondim 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.
Balaha, Hossam Magdy, Akshitkumar M. Mistry, Bret C. Mobley, et al.. (2025). A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor. Journal of Pathology Informatics. 17. 100422–100422. 1 indexed citations
2.
Balaha, Hossam Magdy, et al.. (2025). Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making. IEEE Access. 13. 89704–89722. 2 indexed citations
3.
Nielsen, Greylin H., et al.. (2025). Perfluorooctanoic acid increases serum cholesterol in a PPARα-dependent manner in female mice. Archives of Toxicology. 99(5). 2087–2105. 2 indexed citations
4.
5.
Balaha, Hossam Magdy, et al.. (2024). A Vision Transformer Approach for Breast Cancer Classification in Histopathology. 1–4. 4 indexed citations
6.
Alksas, Ahmed, Mohamed Shehata, Sherry M. Khater, et al.. (2024). Precise grading of non-muscle invasive bladder cancer with multi-scale pyramidal CNN. Scientific Reports. 14(1). 25131–25131. 2 indexed citations
7.
Zhao, Jingjing, Daniel Cláudio Oliveira Gomes, Marina V. Malovichko, et al.. (2024). Obesogenic polystyrene microplastic exposures disrupt the gut-liver-adipose axis. Toxicological Sciences. 198(2). 210–220. 19 indexed citations
8.
Alksas, Ahmed, Hossam Magdy Balaha, Mohamed Abou El‐Ghar, et al.. (2024). Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer. IEEE Access. 12. 195960–195973. 2 indexed citations
9.
Majumder, Suravi, Sathnur Pushpakumar, Rosemary Ouseph, et al.. (2024). Toll-like receptor 4 mutation mitigates gut microbiota-mediated hypertensive kidney injury. Pharmacological Research. 206. 107303–107303. 4 indexed citations
10.
El‐Ghar, Mohamed Abou, Mohammed Ghazal, Sohail Contractor, et al.. (2024). Multi-branch CNNFormer: a novel framework for predicting prostate cancer response to hormonal therapy. BioMedical Engineering OnLine. 23(1). 131–131. 3 indexed citations
11.
Alksas, Ahmed, et al.. (2023). Biomarkers for Kidney-Transplant Rejection: A Short Review Study. Biomedicines. 11(9). 2437–2437. 5 indexed citations
12.
Gondim, Dibson, Khaleel I. Al‐Obaidy, Muhammad T. Idrees, John N. Eble, & Liang Cheng. (2023). Artificial intelligence-based multi-class histopathologic classification of kidney neoplasms. Journal of Pathology Informatics. 14. 100299–100299. 3 indexed citations
13.
Naglah, Ahmed M., Fahmi Khalifa, Ayman El‐Baz, & Dibson Gondim. (2022). Conditional GANs based system for fibrosis detection and quantification in Hematoxylin and Eosin whole slide images. Medical Image Analysis. 81. 102537–102537. 13 indexed citations
14.
Gondim, Dibson, et al.. (2022). Infliximab-Induced Vanishing Bile Duct Syndrome. Cureus. 14(2). e21940–e21940. 4 indexed citations
15.
Khalifa, Fahmi, et al.. (2022). A deep learning framework for automated classification of histopathological kidney whole-slide images. Journal of Pathology Informatics. 13. 100093–100093. 22 indexed citations
16.
Flack, Chandra K., Adam Calaway, Maria M. Picken, et al.. (2019). Comparing oncologic outcomes in patients undergoing surgery for oncocytic neoplasms, conventional oncocytoma, and chromophobe renal cell carcinoma. Urologic Oncology Seminars and Original Investigations. 37(11). 811.e17–811.e21. 5 indexed citations
17.
Calaway, Adam, Dibson Gondim, Chandra K. Flack, et al.. (2017). Anatomic comparison of traditional and enucleation partial nephrectomy specimens. Urologic Oncology Seminars and Original Investigations. 35(5). 221–226. 11 indexed citations
18.
Diehl, David L., Amitpal S. Johal, Harshit S. Khara, et al.. (2015). Endoscopic ultrasound-guided liver biopsy: a multicenter experience. SHILAP Revista de lepidopterología. 3(3). E210–E215. 89 indexed citations
19.
Jacob, Joseph M, Sean R. Williamson, Dibson Gondim, et al.. (2015). Characteristics of the Peritumoral Pseudocapsule Vary Predictably With Histologic Subtype of T1 Renal Neoplasms. Urology. 86(5). 956–961. 36 indexed citations
20.
Gondim, Dibson, et al.. (2012). S2DIA: A Diagnostic System for Diabetes mellitus using SANA platform. PubMed. 2012. 6078–6081. 2 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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