Debargha Basuli

768 total citations · 1 hit paper
17 papers, 575 citations indexed

About

Debargha Basuli is a scholar working on Epidemiology, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Debargha Basuli has authored 17 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Nephrology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Debargha Basuli's work include Renal Transplantation Outcomes and Treatments (2 papers), Global Cancer Incidence and Screening (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Debargha Basuli is often cited by papers focused on Renal Transplantation Outcomes and Treatments (2 papers), Global Cancer Incidence and Screening (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Debargha Basuli collaborates with scholars based in United States, Australia and Singapore. Debargha Basuli's co-authors include Suzy V. Torti, Frank M. Torti, Wa Xian, Frank McKeon, Yusuke Yamamoto, Gang Ning, Christopher P. Crum, Richard G. Stevens, Lia Tesfay and Lance D. Miller and has published in prestigious journals such as Oncogene, The Journal of Pathology and Frontiers in Pharmacology.

In The Last Decade

Debargha Basuli

15 papers receiving 571 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Iron addiction: a novel therapeutic target in ovarian cancer

2017 355 citations Debargha Basuli, Lia Tesfay et al. Oncogene profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debargha Basuli United States	6	251	235	198	110	90	17	575
Nicole Blanchette United States	3	268 1.1×	240 1.0×	179 0.9×	185 1.7×	64 0.7×	4	565
Shanqi Guo China	13	453 1.8×	198 0.8×	384 1.9×	78 0.7×	83 0.9×	35	686
Jennifer Doss United States	10	269 1.1×	260 1.1×	173 0.9×	74 0.7×	205 2.3×	10	624
Hironari Nishizawa Japan	11	445 1.8×	337 1.4×	243 1.2×	43 0.4×	84 0.9×	20	672
Merry Tetef United States	14	147 0.6×	119 0.5×	118 0.6×	82 0.7×	269 3.0×	29	581
Takuro Nishikawa Japan	11	221 0.9×	77 0.3×	106 0.5×	118 1.1×	240 2.7×	60	677
Yongqian Jia China	13	343 1.4×	88 0.4×	149 0.8×	60 0.5×	137 1.5×	43	587
Geert A. Cirkel Netherlands	14	163 0.6×	144 0.6×	160 0.8×	40 0.4×	279 3.1×	29	576

Countries citing papers authored by Debargha Basuli

Since Specialization

Citations

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

Fields of papers citing papers by Debargha Basuli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debargha Basuli

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

All Works

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17 of 17 papers shown

Ali, Hassam, Dushyant Singh Dahiya, Amir Humza Sohail, et al.. (2024). Trends in mortality from gastrointestinal, hepatic, and pancreatic cancers in the United States: A comprehensive analysis (1999–2020). JGH Open. 8(4). e13064–e13064. 4 indexed citations

Basuli, Debargha, et al.. (2024). From bytes to nephrons: AI’s journey in diabetic kidney disease. Journal of Nephrology. 38(1). 25–35. 2 indexed citations

Ali, Hassam, Pratik Patel, Dushyant Singh Dahiya, et al.. (2023). Prediction of early‐onset colorectal cancer mortality rates in the United States using machine learning. Cancer Medicine. 13(1). e6880–e6880. 2 indexed citations

Basuli, Debargha & Sasmit Roy. (2023). Beyond Human Limits: Harnessing Artificial Intelligence to Optimize Immunosuppression in Kidney Transplantation. Journal of Clinical Medicine Research. 15(8-9). 391–398. 9 indexed citations

Ali, Hassam, et al.. (2023). Increasing nonalcoholic fatty liver disease–related mortality rates in the United States from 1999 to 2022. Hepatology Communications. 7(7). 20 indexed citations

Ali, Hassam, et al.. (2023). Rising alcohol-associated liver disease–related mortality rates in the United States from 1999 to 2022. Hepatology Communications. 7(7). 17 indexed citations

Roy, Sasmit, Jean Hou, Prabal Chourasia, et al.. (2023). Seronegative Atypical Anti-Glomerular Basement Membrane Glomerulonephritis Associated With Thrombotic Microangiopathy: Case Report and Literature Analysis. Journal of Investigative Medicine High Impact Case Reports. 11. 1626032504–1626032504.

Lum, Erik L., et al.. (2022). Reduction in Maintenance Immunosuppression in Kidney Transplant Recipients With Stable Donor-Derived Cell-Free DNA Measurements: A Case Series. Transplantation Proceedings. 55(1). 93–97. 5 indexed citations

Roy, Sasmit, et al.. (2022). Rhizobium radiobacter-Induced Peritonitis: A Case Report and Literature Analysis. Journal of Medical Cases. 13(9). 471–474. 1 indexed citations

10.

Basuli, Debargha, et al.. (2022). Kinin B1 Receptor Mediates Renal Injury and Remodeling in Hypertension. Frontiers in Medicine. 8. 780834–780834. 3 indexed citations

11.

Basuli, Debargha & Sasmit Roy. (2022). Elevated Anion Gap Metabolic Acidosis With High Osmolar Gap and Increased Serum Acetone Level: A Case Report. Cureus. 14(7). e27085–e27085.

12.

Basuli, Debargha, et al.. (2022). A rare case of AIDS co-infected with COVID-19 presenting with disseminated Herpes zoster complicated with CMV and Varicella zoster virus meningoencephalitis.. PubMed. 93(6). e2022326–e2022326. 2 indexed citations

13.

Basuli, Debargha, Lia Tesfay, Zhao Deng, et al.. (2017). Iron addiction: a novel therapeutic target in ovarian cancer. Oncogene. 36(29). 4089–4099. 355 indexed citations breakdown →

14.

Strasfeld, Lynne, et al.. (2017). Outcomes of Kidney Transplantation with a CMV Matching Allocation Schema. Open Forum Infectious Diseases. 4(suppl_1). S11–S12. 1 indexed citations

15.

Basuli, Debargha. (2016). Iron Addiction In Tumor Initiating Cells: A Novel Therapeutic Target In Ovarian Cancer. OpenCommons - UConn (University of Connecticut). 1 indexed citations

16.

Yamamoto, Yusuke, Gang Ning, Brooke E. Howitt, et al.. (2015). In vitro and in vivo correlates of physiological and neoplastic human Fallopian tube stem cells. The Journal of Pathology. 238(4). 519–530. 60 indexed citations

17.

Basuli, Debargha, Richard G. Stevens, Frank M. Torti, & Suzy V. Torti. (2014). Epidemiological associations between iron and cardiovascular disease and diabetes. Frontiers in Pharmacology. 5. 117–117. 93 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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