Daniel Jin

840 total citations
19 papers, 547 citations indexed

About

Daniel Jin is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Daniel Jin has authored 19 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Molecular Biology. Recurrent topics in Daniel Jin's work include Renal and related cancers (4 papers), Radiation Dose and Imaging (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Daniel Jin is often cited by papers focused on Renal and related cancers (4 papers), Radiation Dose and Imaging (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Daniel Jin collaborates with scholars based in United States, United Kingdom and Canada. Daniel Jin's co-authors include D. Duane Baldwin, Forrest Jellison, Ryan S. Hsi, Laura Perin, Sargis Sedrakyan, Stefano Giuliani, Roger E. De Filippo, David Warburton, Anthony Atala and Gianni Carraro and has published in prestigious journals such as Radiology, International Journal of Molecular Sciences and The Journal of Urology.

In The Last Decade

Daniel Jin

19 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Jin United States	11	252	162	124	121	76	19	547
Naciye Sinem Gezer Türkiye	14	151 0.6×	147 0.9×	179 1.4×	21 0.2×	38 0.5×	53	664
Giuseppe Salvaggio Italy	17	199 0.8×	277 1.7×	369 3.0×	51 0.4×	148 1.9×	57	795
J. M. Levaillant France	15	163 0.6×	43 0.3×	82 0.7×	56 0.5×	35 0.5×	30	724
Bo‐Kyung Je South Korea	14	219 0.9×	123 0.8×	134 1.1×	36 0.3×	47 0.6×	63	561
Michalis Mazonakis Greece	18	184 0.7×	336 2.1×	368 3.0×	43 0.4×	133 1.8×	67	894
Rupan Sanyal United States	18	355 1.4×	198 1.2×	288 2.3×	71 0.6×	126 1.7×	46	813
Nitin Ramamurthy United Kingdom	17	471 1.9×	341 2.1×	188 1.5×	70 0.6×	118 1.6×	35	957
Sergülen Dervişoğlu Türkiye	17	346 1.4×	354 2.2×	50 0.4×	113 0.9×	32 0.4×	94	871
Matteo Fontana Italy	17	185 0.7×	253 1.6×	85 0.7×	38 0.3×	18 0.2×	51	623
Ning Lang China	15	339 1.3×	120 0.7×	390 3.1×	48 0.4×	285 3.8×	76	891

Countries citing papers authored by Daniel Jin

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jin

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

All Works

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19 of 19 papers shown

Kim, Mira, et al.. (2024). Reinforcement Learning Architecture for Facial Skin Treatment Recommender. 33. 47–54. 1 indexed citations

Jin, Daniel, et al.. (2023). A Deep Learning Approach for Liver Segmentation and Lesion Detection in Medical Images Using U-Net Segmentation Model. 116–121. 1 indexed citations

Yang, Yue, et al.. (2023). Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification. 19187–19197. 56 indexed citations

Kalsi‐Ryan, Sukhvinder, Gustavo Balbinot, Rainer Abel, et al.. (2022). Minimal Clinically Important Difference of Graded Redefined Assessment of Strength, Sensibility, and Prehension Version 1 in Acute Cervical Traumatic Spinal Cord Injury. Journal of Neurotrauma. 39(23-24). 1645–1653. 4 indexed citations

Khan, Wasiq, et al.. (2022). Usefulness of Vaccine Adverse Event Reporting System for Machine-Learning Based Vaccine Research: A Case Study for COVID-19 Vaccines. International Journal of Molecular Sciences. 23(15). 8235–8235. 8 indexed citations

Kim, Soo Dong, et al.. (2021). Mask R-CNN Models to Purify Medical Images of Training Sets. 1–4. 2 indexed citations

Pham, Jonathan, et al.. (2020). Quantitative CT Predictors of Portal Venous Intervention in Uncontrolled Variceal Bleeding. American Journal of Roentgenology. 215(5). 1247–1251. 10 indexed citations

Kalsi‐Ryan, Sukhvinder, Daniel Jin, Allan R. Martin, et al.. (2020). Quantitative Assessment of Gait Characteristics in Degenerative Cervical Myelopathy: A Prospective Clinical Study. Journal of Clinical Medicine. 9(3). 752–752. 22 indexed citations

Smith, Jason C., et al.. (2011). Ultra–low-dose Protocol for CT-guided Lung Biopsies. Journal of Vascular and Interventional Radiology. 22(4). 431–436. 31 indexed citations

10.

Jellison, Forrest, Ryan Bowman, Daniel Jin, et al.. (2011). Robot-Assisted Radical Prostatectomy in Patients with Previous Renal Transplantation. Journal of Endourology. 25(10). 1643–1647. 23 indexed citations

11.

Jin, Daniel, et al.. (2010). Effect of Reduced Radiation CT Protocols on the Detection of Renal Calculi. Radiology. 255(1). 100–107. 44 indexed citations

12.

Jellison, Forrest, et al.. (2009). Effect of Low Dose Radiation Computerized Tomography Protocols on Distal Ureteral Calculus Detection. The Journal of Urology. 182(6). 2762–2767. 55 indexed citations

13.

Jin, Daniel, et al.. (2009). COMPARISON OF ROBOTIC RADICAL PROSTATECTOMY OUTCOMES IN PATIENTS WITH AND WITHOUT PREVIOUS RENAL TRANSPLANTATION. The Journal of Urology. 181(4S). 808–808. 1 indexed citations

14.

Jin, Daniel, et al.. (2009). Renal Stone Detection Using Unenhanced Multidetector Row Computerized Tomography—Does Section Width Matter?. The Journal of Urology. 181(6). 2767–2773. 11 indexed citations

15.

Hsi, Ryan S., et al.. (2008). Prospective Comparison of Four Laparoscopic Vessel Ligation Devices. Journal of Endourology. 22(10). 2307–2312. 123 indexed citations

16.

Perin, Laura, Stefano Giuliani, Daniel Jin, et al.. (2007). Renal differentiation of amniotic fluid stem cells. Cell Proliferation. 40(6). 936–948. 131 indexed citations

17.

Giuliani, Stefano, Laura Perin, Sargis Sedrakyan, et al.. (2007). Ex Vivo Whole Embryonic Kidney Culture: A Novel Method for Research in Development, Regeneration and Transplantation. The Journal of Urology. 179(1). 365–370. 22 indexed citations

18.

Filippo, Roger De, Laura Perin, Stefano Giuliani, et al.. (2005). Renal tubular regeneration from human Amniotic Fluid Stem Cells. Journal of the American College of Surgeons. 201(3). S47–S47. 1 indexed citations

19.

Giuliani, Stefano, Laura Perin, Akito Maeshima, et al.. (2005). In situ injection of amniotic fluid stem cells for the bioengineering of de novo renal tissue. Journal of the American College of Surgeons. 201(3). S95–S96. 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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