Deepak Kaji

1.6k total citations
24 papers, 1.1k citations indexed

About

Deepak Kaji is a scholar working on Surgery, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Deepak Kaji has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 6 papers in Biomedical Engineering and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Deepak Kaji's work include Medical Imaging and Analysis (6 papers), Spine and Intervertebral Disc Pathology (5 papers) and Air Quality and Health Impacts (3 papers). Deepak Kaji is often cited by papers focused on Medical Imaging and Analysis (6 papers), Spine and Intervertebral Disc Pathology (5 papers) and Air Quality and Health Impacts (3 papers). Deepak Kaji collaborates with scholars based in United States, Brazil and Hong Kong. Deepak Kaji's co-authors include Samuel K. Cho, Jun Kim, Eric K. Oermann, Varun Arvind, Thomas Kahn, Kevin L. Thomas, Alice H. Huang, John M. Caridi, Anthony Costa and John R. Zech and has published in prestigious journals such as Nature Communications, PLoS ONE and Circulation Research.

In The Last Decade

Deepak Kaji

24 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Kaji United States	18	366	238	223	205	126	24	1.1k
Kemal Üreten Türkiye	20	253 0.7×	58 0.2×	243 1.1×	273 1.3×	52 0.4×	48	1.2k
Jenny Lee United States	14	122 0.3×	98 0.4×	37 0.2×	60 0.3×	140 1.1×	25	1.1k
Yu Sub Sung South Korea	25	294 0.8×	125 0.5×	40 0.2×	66 0.3×	460 3.7×	64	1.8k
Jiaan Zhu China	22	576 1.6×	82 0.3×	160 0.7×	208 1.0×	166 1.3×	93	1.4k
Reyhan Ersoy Türkiye	26	938 2.6×	28 0.1×	245 1.1×	189 0.9×	93 0.7×	225	2.3k
Mitsuhiro Sanada Japan	21	102 0.3×	206 0.9×	71 0.3×	126 0.6×	83 0.7×	34	1.4k
A Ram Hong South Korea	21	438 1.2×	40 0.2×	115 0.5×	188 0.9×	191 1.5×	86	1.3k
Sean N. Neifert United States	16	607 1.7×	138 0.6×	377 1.7×	42 0.2×	24 0.2×	76	1.1k
Lionel N. Metz United States	17	657 1.8×	75 0.3×	434 1.9×	90 0.4×	64 0.5×	38	1.1k

Countries citing papers authored by Deepak Kaji

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Kaji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Kaji

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

All Works

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20 of 20 papers shown

Kaji, Deepak, et al.. (2021). Transcriptional profiling of mESC-derived tendon and fibrocartilage cell fate switch. Nature Communications. 12(1). 4208–4208. 24 indexed citations

Howell, Kristen, et al.. (2021). Macrophage depletion impairs neonatal tendon regeneration. The FASEB Journal. 35(6). e21618–e21618. 18 indexed citations

Ma, Chi, Yan Jing, Hui Li, et al.. (2020). ScxLin cells directly form a subset of chondrocytes in temporomandibular joint that are sharply increased in Dmp1-null mice. Bone. 142. 115687–115687. 13 indexed citations

Kaji, Deepak, et al.. (2020). Tgfβ signaling is required for tenocyte recruitment and functional neonatal tendon regeneration. eLife. 9. 70 indexed citations

Kaji, Deepak, John R. Zech, Jun Kim, et al.. (2019). An attention based deep learning model of clinical events in the intensive care unit. PLoS ONE. 14(2). e0211057–e0211057. 133 indexed citations

Cho, Brian, Deepak Kaji, Zoe B. Cheung, et al.. (2019). Automated Measurement of Lumbar Lordosis on Radiographs Using Machine Learning and Computer Vision. Global Spine Journal. 10(5). 611–618. 58 indexed citations

Zech, John R., Jessica Zosa Forde, J. Titano, et al.. (2019). Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models. Annals of Translational Medicine. 7(11). 233–233. 11 indexed citations

Arvind, Varun, Jun Kim, Eric K. Oermann, Deepak Kaji, & Samuel K. Cho. (2018). Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning. Neurospine. 15(4). 329–337. 67 indexed citations

Kim, Jun, Varun Arvind, Eric K. Oermann, et al.. (2018). Predicting Surgical Complications in Patients Undergoing Elective Adult Spinal Deformity Procedures Using Machine Learning. Spine Deformity. 6(6). 762–770. 71 indexed citations

10.

Bose, Sonali, Karina Romero, Kevin J. Psoter, et al.. (2018). Association of traffic air pollution and rhinitis quality of life in Peruvian children with asthma. PLoS ONE. 13(3). e0193910–e0193910. 27 indexed citations

11.

Kaji, Deepak, Varun Arvind, Jun Kim, John M. Caridi, & Samuel K. Cho. (2017). Artificial Intelligence (AI) Can Predict Complications Better than Traditional Statistical Testing Following Fusion for Anterior Lumbar Fusion (ALF). The Spine Journal. 17(10). S146–S146. 2 indexed citations

12.

Kim, Jun, Robert Merrill, Varun Arvind, et al.. (2017). Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion. Spine. 43(12). 853–860. 137 indexed citations

13.

Mayourian, Joshua, Timothy J. Cashman, Delaine K. Ceholski, et al.. (2017). Experimental and Computational Insight Into Human Mesenchymal Stem Cell Paracrine Signaling and Heterocellular Coupling Effects on Cardiac Contractility and Arrhythmogenicity. Circulation Research. 121(4). 411–423. 52 indexed citations

14.

Arvind, Varun, Deepak Kaji, Jun Kim, John M. Caridi, & Samuel K. Cho. (2017). Artificial Intelligence (AI) Can Predict Postoperative Complications Better than Traditional Statistical Testing Following Anterior Cervical Discectomy and Fusion (ACDF). The Spine Journal. 17(10). S145–S146. 3 indexed citations

15.

Hussain, Awais K., Khushdeep S. Vig, Zoe B. Cheung, et al.. (2017). The Impact of Metastatic Spinal Tumor Location on 30-Day Perioperative Mortality and Morbidity After Surgical Decompression. Spine. 43(11). E648–E655. 18 indexed citations

16.

Yacoub, Rabi, Deepak Kaji, Shanti Patel, et al.. (2015). Association between probiotic and yogurt consumption and kidney disease: insights from NHANES. Nutrition Journal. 15(1). 10–10. 43 indexed citations

17.

McCormack, Meredith C., Andrew J. Belli, Deepak Kaji, et al.. (2015). Obesity as a susceptibility factor to indoor particulate matter health effects in COPD. European Respiratory Journal. 45(5). 1248–1257. 39 indexed citations

18.

Kaji, Deepak, Andrew J. Belli, Meredith C. McCormack, et al.. (2014). Indoor pollutant exposure is associated with heightened respiratory symptoms in atopic compared to non-atopic individuals with COPD. BMC Pulmonary Medicine. 14(1). 147–147. 14 indexed citations

19.

Saggi, Subodh J., et al.. (1990). Renal Failure Due to Leukaemic Infiltration in Chronic Lymphocytic Leukaemia. Nephrology Dialysis Transplantation. 5(12). 1051–1052. 19 indexed citations

20.

Kaji, Deepak. (1986). Volume-sensitive K transport in human erythrocytes.. The Journal of General Physiology. 88(6). 719–738. 99 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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