Giulia Baldini

792 total citations · 1 hit paper
23 papers, 469 citations indexed

About

Giulia Baldini is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Informatics. According to data from OpenAlex, Giulia Baldini has authored 23 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Health Informatics. Recurrent topics in Giulia Baldini's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Machine Learning in Healthcare (5 papers). Giulia Baldini is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Machine Learning in Healthcare (5 papers). Giulia Baldini collaborates with scholars based in Germany, Italy and Netherlands. Giulia Baldini's co-authors include Maureen Charron, Harvey F. Lodish, R J Hohman, Claudio Tiribelli, Gian Luigi Sottocasa, Giancarlo Lunazzi, Gian Carlo Lunazzi, Jens Kleesiek, Gabriella Sandri and Julius Keyl and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Giulia Baldini

22 papers receiving 459 citations

Hit Papers

CellViT: Vision Transformers for precise cell segmentatio... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Baldini Germany 10 190 103 80 64 62 23 469
Ryan Deaton United States 17 260 1.4× 91 0.9× 44 0.6× 43 0.7× 39 0.6× 39 737
Xuequn Zhang China 11 173 0.9× 118 1.1× 37 0.5× 68 1.1× 32 0.5× 19 526
Jing-Jie Peng China 17 366 1.9× 53 0.5× 26 0.3× 40 0.6× 24 0.4× 29 703
Menglu Chen China 15 192 1.0× 46 0.4× 34 0.4× 155 2.4× 12 0.2× 29 642
David Chhieng United States 9 111 0.6× 37 0.4× 86 1.1× 27 0.4× 25 0.4× 17 426
Marijana Popović Hadžija Croatia 13 217 1.1× 65 0.6× 25 0.3× 32 0.5× 31 0.5× 59 641
Liang Xiong China 12 128 0.7× 33 0.3× 55 0.7× 104 1.6× 31 0.5× 32 461
Yasushi Horai Japan 8 148 0.8× 187 1.8× 25 0.3× 16 0.3× 18 0.3× 13 483
Enrico Capobianco United States 13 306 1.6× 45 0.4× 36 0.5× 32 0.5× 18 0.3× 63 570
Hongyu Jing China 14 220 1.2× 59 0.6× 63 0.8× 47 0.7× 11 0.2× 15 471

Countries citing papers authored by Giulia Baldini

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Baldini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Baldini

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Baldini. A scholar is included among the top collaborators of Giulia Baldini 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 Giulia Baldini. Giulia Baldini 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.
Baldini, Giulia, et al.. (2025). FHIR-Former: enhancing clinical predictions through Fast Healthcare Interoperability Resources and large language models. Journal of the American Medical Informatics Association. 32(12). 1793–1801.
2.
Baldini, Giulia, Daniel Truhn, Gustav Müller‐Franzes, et al.. (2025). An automated information extraction model for unstructured discharge letters using large language models and GPT-4. Healthcare Analytics. 7. 100378–100378. 3 indexed citations
3.
Schäfer, Henning, Héctor Allende‐Cid, Giulia Baldini, et al.. (2025). From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports. Computers in Biology and Medicine. 195. 110665–110665. 1 indexed citations
5.
Baldini, Giulia, et al.. (2025). A Transformer-Based Pipeline for German Clinical Document De-Identification. Applied Clinical Informatics. 16(1). 31–43. 1 indexed citations
6.
Baldini, Giulia, et al.. (2024). Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors. SHILAP Revista de lepidopterología. 3. 1336902–1336902. 1 indexed citations
7.
Beckh, Katharina, Nilesh Chakraborty, Giulia Baldini, et al.. (2024). From admission to discharge: a systematic review of clinical natural language processing along the patient journey. BMC Medical Informatics and Decision Making. 24(1). 238–238. 6 indexed citations
8.
Seibold, Constantin, Julius Keyl, Giulia Baldini, et al.. (2024). CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Analysis. 94. 103143–103143. 96 indexed citations breakdown →
9.
Baldini, Giulia, René Hosch, Sven Koitka, et al.. (2024). Addressing the Contrast Media Recognition Challenge. Investigative Radiology. 59(9). 635–645. 3 indexed citations
10.
Koitka, Sven, Giulia Baldini, Johannes Haubold, et al.. (2024). SAROS: A dataset for whole-body region and organ segmentation in CT imaging. Scientific Data. 11(1). 483–483. 7 indexed citations
11.
Hosch, René, et al.. (2023). FHIR-PYrate: a data science friendly Python package to query FHIR servers. BMC Health Services Research. 23(1). 734–734. 13 indexed citations
12.
Baldini, Giulia, René Hosch, Sven Koitka, et al.. (2023). Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management. Blood. 142(26). 2315–2326. 5 indexed citations
13.
Hoyer, Dieter P., Saskia Ting, Sven Koitka, et al.. (2023). AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump. Journal of Pathology Informatics. 15. 100345–100345. 6 indexed citations
14.
Haubold, Johannes, Giulia Baldini, Benedikt M. Schaarschmidt, et al.. (2023). BOA. Investigative Radiology. 59(6). 433–441. 16 indexed citations
15.
Baldini, Giulia, René Hosch, Sven Koitka, et al.. (2022). CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients. Scientific Reports. 12(1). 13419–13419. 21 indexed citations
16.
Baldini, Giulia, R J Hohman, Maureen Charron, & Harvey F. Lodish. (1991). Insulin and nonhydrolyzable GTP analogs induce translocation of GLUT 4 to the plasma membrane in alpha-toxin-permeabilized rat adipose cells. Journal of Biological Chemistry. 266(7). 4037–4040. 123 indexed citations
18.
Baldini, Giulia, Sabina Passamonti, Gian Carlo Lunazzi, Claudio Tiribelli, & Gian Luigi Sottocasa. (1986). Cellular localization of sulfobromophthalein transport activity in rat liver. Biochimica et Biophysica Acta (BBA) - Biomembranes. 856(1). 1–10. 44 indexed citations
19.
Gentile, S, Giulia Baldini, Giancarlo Lunazzi, et al.. (1985). Measurement of the association of cholephylic organic anions with different binding proteins. Biochemical Pharmacology. 34(14). 2439–2444. 20 indexed citations
20.
Baldini, Giulia & Lorenzo Ferri. (1957). Experimental and Clinical Research on the Radio-protective Action of Cysteamine and Cystamine: III. Clinical Research. British Journal of Radiology. 30(353). 271–273. 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.

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