Deepak Singhal

2.4k total citations
93 papers, 1.2k citations indexed

About

Deepak Singhal is a scholar working on Hematology, Genetics and Strategy and Management. According to data from OpenAlex, Deepak Singhal has authored 93 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 16 papers in Genetics and 16 papers in Strategy and Management. Recurrent topics in Deepak Singhal's work include Acute Myeloid Leukemia Research (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers) and Sustainable Supply Chain Management (13 papers). Deepak Singhal is often cited by papers focused on Acute Myeloid Leukemia Research (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers) and Sustainable Supply Chain Management (13 papers). Deepak Singhal collaborates with scholars based in India, Australia and United States. Deepak Singhal's co-authors include Sarat Kumar Jena, Sushanta Tripathy, K. Shanti Swarup, Sushanta Tripathy, Shashidhar Acharya, Devendra Hiwase, Rakchha Chhetri, Ramanuj Kumar, Peter Bardy and Abdul Malik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Deepak Singhal

81 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Singhal India 18 349 201 193 187 139 93 1.2k
Sebastian Kummer Austria 21 549 1.6× 158 0.8× 54 0.3× 31 0.2× 48 0.3× 114 1.7k
Keun-Sik Park Japan 13 163 0.5× 128 0.6× 13 0.1× 53 0.3× 18 0.1× 52 562
Luc Muyldermans Belgium 22 425 1.2× 352 1.8× 16 0.1× 20 0.1× 81 0.6× 38 1.8k
Gerard de Jong United Kingdom 24 142 0.4× 145 0.7× 84 0.4× 67 0.4× 2 0.0× 95 2.9k
Steve New United Kingdom 27 1.4k 3.9× 554 2.8× 13 0.1× 14 0.1× 170 1.2× 76 2.6k
Zhisong Chen China 20 225 0.6× 68 0.3× 306 1.6× 9 0.0× 46 0.3× 94 1.3k
Tariq Masood United Kingdom 20 422 1.2× 95 0.5× 110 0.6× 9 0.0× 30 0.2× 105 2.3k

Countries citing papers authored by Deepak Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Singhal. A scholar is included among the top collaborators of Deepak Singhal 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 Singhal. Deepak Singhal 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.
Kim, Hee‐Cheol, et al.. (2025). A Structural Analysis of AI Implementation Challenges in Healthcare. Algorithms. 18(4). 189–189.
2.
Patil, Vathsala, et al.. (2025). Radiomorphometric Parameters in Mandibular Panoramic Radiographs of Hypothyroid Patients: A Cross-Sectional Study. Clinical Cosmetic and Investigational Dentistry. Volume 17. 31–37. 2 indexed citations
3.
Wiseman, Thomas, Deepak Singhal, David T Yeung, et al.. (2024). Higher Rate of Red Blood Cell (RBC) Alloimmunization in RBC-Transfused Myelodysplastic Syndrome Compared to Acute Myeloid Leukemia. Blood. 144(Supplement 1). 1267–1267.
4.
Singhal, Deepak, Monika Kutyna, Christopher N Hahn, Mithun Vinod Shah, & Devendra Hiwase. (2024). Therapy-Related Myeloid Neoplasms: Complex Interactions among Cytotoxic Therapies, Genetic Factors, and Aberrant Microenvironment. Blood Cancer Discovery. 5(6). 400–416. 5 indexed citations
5.
6.
Baranwal, Anmol, Rakchha Chhetri, David T Yeung, et al.. (2023). Factors predicting survival following alloSCT in patients with therapy-related AML and MDS: a multicenter study. Bone Marrow Transplantation. 58(7). 769–776. 5 indexed citations
7.
Singhal, Deepak, et al.. (2023). Role of Industry 4.0 in manufacturing: an exhaustive literature review and future prospects. International Journal of Process Management and Benchmarking. 14(2). 176–176. 1 indexed citations
8.
Chhetri, Rakchha, Deepak Singhal, David M. Ross, et al.. (2023). Personalized risk model for predicting risk of acute coronary syndrome in patients with myelodysplastic syndromes. Blood Advances. 7(13). 3032–3035.
9.
Chhetri, Rakchha, Elizabeth Ngoc Hoa Tran, Monika Kutyna, et al.. (2023). A Personalized Risk Model for Azacitidine Outcome in Myelodysplastic Syndrome and Other Myeloid Neoplasms Identified by Machine Learning Model Utilizing Real-World Data. Cancers. 15(16). 4019–4019. 4 indexed citations
10.
Saygin, Caner, Gregory W. Roloff, Christopher N Hahn, et al.. (2022). Allogeneic hematopoietic stem cell transplant outcomes in adults with inherited myeloid malignancies. Blood Advances. 7(4). 549–554. 23 indexed citations
11.
Enjeti, Anoop, Rishu Agarwal, Piers Blombery, et al.. (2022). Panel-based gene testing in myelodysplastic/myeloproliferative neoplasm overlap syndromes: Australasian Leukaemia and Lymphoma Group (ALLG) consensus statement. Pathology. 54(4). 389–398. 3 indexed citations
12.
Patil, Vathsala, et al.. (2021). Work-life balance amongst dental professionals during the COVID-19 pandemic—A structural equation modelling approach. PLoS ONE. 16(8). e0256663–e0256663. 14 indexed citations
13.
14.
Singhal, Deepak, Sushanta Tripathy, & Sarat Kumar Jena. (2019). Sustainability through remanufacturing of e-waste: Examination of critical factors in the Indian context. Sustainable Production and Consumption. 20. 128–139. 35 indexed citations
15.
Singhal, Deepak, et al.. (2019). Assessment of concentrations of trace elements in the groundwater sources along the course of swarna river in Udupi district, Karnataka state, India. 10(2). 1366–1375. 3 indexed citations
16.
Singhal, Deepak, et al.. (2019). Perceptions Regarding Tobacco Cessation Counselling among Dental Students and Graduates: A Cross-Sectional Study. Asian Pacific Journal of Cancer Prevention. 20(9). 2589–2593. 6 indexed citations
17.
Sharma, Kriti, et al.. (2019). Efficacy of chlorhexidine, hydrogen peroxide and tulsi extract mouthwash in reducing halitosis using spectrophotometric analysis: A randomized controlled trial. Journal of Clinical and Experimental Dentistry. 11(5). e457–e463. 26 indexed citations
18.
Hahn, Christopher N, Milena Babic, Jinghua Feng, et al.. (2017). Duplication on Chromosome 14q Identified in Familial Predisposition to Myeloid Malignancies and Myeloproliferative Neoplasms. Blood. 130. 492–492. 3 indexed citations
19.
Singhal, Deepak & Shashidhar Acharya. (2017). Maternal Knowledge, attitude and practices regarding oral health of preschool children in Udupi taluk, Karnataka, India. Journal of international dental and medical research. 10(2). 270–277. 2 indexed citations
20.
Gupta, Kapil, et al.. (2012). Pneumothorax following ultrasound guided supraclavicular brachial plexus block. Journal of Anaesthesiology Clinical Pharmacology. 28(4). 543–543. 7 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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