Sunil M. Kurian

5.2k total citations
99 papers, 3.4k citations indexed

About

Sunil M. Kurian is a scholar working on Transplantation, Surgery and Molecular Biology. According to data from OpenAlex, Sunil M. Kurian has authored 99 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Transplantation, 32 papers in Surgery and 23 papers in Molecular Biology. Recurrent topics in Sunil M. Kurian's work include Renal Transplantation Outcomes and Treatments (42 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Tryptophan and brain disorders (10 papers). Sunil M. Kurian is often cited by papers focused on Renal Transplantation Outcomes and Treatments (42 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Tryptophan and brain disorders (10 papers). Sunil M. Kurian collaborates with scholars based in United States, Canada and India. Sunil M. Kurian's co-authors include Daniel R. Salomon, Thomas Whisenant, Stuart M. Flechner, Steven R. Head, Steve Horvath, Alexander B. Niculescu, H Le-Niculescu, Tony S. Mondala, Michaël Abécassis and Peter Langfelder and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Sunil M. Kurian

94 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil M. Kurian United States 33 1.3k 1.1k 853 450 416 99 3.4k
Stefan Schneeberger Austria 42 2.8k 2.2× 2.8k 2.6× 591 0.7× 582 1.3× 484 1.2× 259 5.7k
Deborah Adey United States 18 572 0.5× 358 0.3× 721 0.8× 191 0.4× 133 0.3× 42 2.5k
Brendan J. Keating United States 28 274 0.2× 401 0.4× 909 1.1× 239 0.5× 252 0.6× 102 2.8k
Victoria Álvarez Spain 42 124 0.1× 477 0.4× 1.8k 2.2× 416 0.9× 768 1.8× 199 5.4k
Virginia J. Savin United States 37 361 0.3× 208 0.2× 981 1.2× 121 0.3× 682 1.6× 105 4.6k
Jolanta Myśliwska Poland 30 121 0.1× 408 0.4× 515 0.6× 636 1.4× 2.0k 4.9× 125 3.8k
P. Donatsch Switzerland 19 230 0.2× 401 0.4× 927 1.1× 111 0.2× 132 0.3× 45 2.2k
James R. Spivey United States 25 89 0.1× 670 0.6× 242 0.3× 1.0k 2.3× 75 0.2× 55 3.1k
John P. Mordes United States 43 299 0.2× 2.1k 1.9× 936 1.1× 412 0.9× 3.1k 7.5× 173 6.5k
Lauranell H. Burch United States 26 72 0.1× 350 0.3× 700 0.8× 329 0.7× 551 1.3× 44 3.2k

Countries citing papers authored by Sunil M. Kurian

Since Specialization
Citations

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

Fields of papers citing papers by Sunil M. Kurian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil M. Kurian. 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 Sunil M. Kurian. The network helps show where Sunil M. Kurian may publish in the future.

Co-authorship network of co-authors of Sunil M. Kurian

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil M. Kurian. A scholar is included among the top collaborators of Sunil M. Kurian 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 Sunil M. Kurian. Sunil M. Kurian 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.
Le-Niculescu, H, S. Corey, Martha Schmitz, et al.. (2025). Next-generation precision medicine for pain. Molecular Psychiatry. 31(2). 869–894.
2.
Le-Niculescu, H, Yin Chen, K. Roseberry, et al.. (2024). Next-generation precision medicine for suicidality prevention. Translational Psychiatry. 14(1). 362–362. 2 indexed citations
3.
4.
Kurian, Sunil M., Jamie Case, Paul R. Lewis, et al.. (2021). Mitigation of radiation exposure during surgical hepatectomy after yttrium-90 radioembolization. Journal of Radiological Protection. 41(3). N1–N11. 1 indexed citations
5.
Guo, Kexin, Raymond L. Heilman, Emilio D. Poggio, et al.. (2021). Combining Blood Gene Expression and Cellfree DNA to Diagnose Subclinical Rejection in Kidney Transplant Recipients. Clinical Journal of the American Society of Nephrology. 16(10). 1539–1551. 48 indexed citations
6.
Stewart, Darren, et al.. (2021). The Advantage of Multiple Listing Continues in the Kidney Allocation System Era. Transplantation Proceedings. 53(2). 569–580. 2 indexed citations
7.
Kurian, Sunil M., Samantha R. Spierling Bagsic, Jamie Case, et al.. (2020). UNOS/OPTN data guided assessment of IgA nephropathy recurrence after kidney transplantation and evaluation of immunosuppressive protocols in a steroid free center. SHILAP Revista de lepidopterología. 5(4). 100063–100063. 1 indexed citations
8.
Kurian, Sunil M., Manoj Dadlani, Brian Fanelli, et al.. (2020). Feasibility and Comparison Study of Fecal Sample Collection Methods in Healthy Volunteers and Solid Organ Transplant Recipients Using 16S rRNA and Metagenomics Approaches. Biopreservation and Biobanking. 18(5). 425–440. 13 indexed citations
9.
Niculescu, Alexander B., H Le-Niculescu, K. Roseberry, et al.. (2019). Blood biomarkers for memory: toward early detection of risk for Alzheimer disease, pharmacogenomics, and repurposed drugs. PMC. 1 indexed citations
10.
Le-Niculescu, H, K. Roseberry, Daniel Levey, et al.. (2019). Towards precision medicine for stress disorders: diagnostic biomarkers and targeted drugs. Publisher. 1 indexed citations
11.
Niculescu, Alexander B., H Le-Niculescu, Daniel Levey, et al.. (2019). Towards precision medicine for pain: diagnostic biomarkers and repurposed drugs. PMC. 10 indexed citations
12.
Ventura, Carlucci Gualberto, Thomas Whisenant, Terri Gelbart, et al.. (2019). Discovery and cross-validation of peripheral blood and renal biopsy gene expression signatures from ethnically diverse kidney transplant populations. American Journal of Transplantation. 19(12). 3356–3366. 5 indexed citations
13.
Le-Niculescu, H, K. Roseberry, Daniel F. Levey, et al.. (2019). Towards precision medicine for stress disorders: diagnostic biomarkers and targeted drugs. Molecular Psychiatry. 25(5). 918–938. 36 indexed citations
14.
Mr, First, Dong‐Yup Lee, Penny Lewis, et al.. (2018). Value of the TruGraf Blood Test as a Biomarker for Monitoring Renal Transplant Recipients. 3(2). 2 indexed citations
15.
Kurian, Sunil M., Eric J. Velazquez, Ryan C. Thompson, et al.. (2017). Orthogonal Comparison of Molecular Signatures of Kidney Transplants With Subclinical and Clinical Acute Rejection: Equivalent Performance Is Agnostic to Both Technology and Platform. American Journal of Transplantation. 17(8). 2103–2116. 29 indexed citations
16.
Miller, Jeremy A., Chaochao Cai, Peter Langfelder, et al.. (2011). Strategies for aggregating gene expression data: The collapseRows R function. BMC Bioinformatics. 12(1). 322–322. 223 indexed citations
17.
Cherqui, Stéphanie, et al.. (2007). Lentiviral Gene Delivery of vMIP-II to Transplanted Endothelial Cells and Endothelial Progenitors Is Proangiogenic In Vivo. Molecular Therapy. 15(7). 1264–1272. 23 indexed citations
18.
Flechner, Stuart M., Sunil M. Kurian, Steven R. Head, et al.. (2004). Kidney Transplant Rejection and Tissue Injury by Gene Profiling of Biopsies and Peripheral Blood Lymphocytes. American Journal of Transplantation. 4(9). 1475–1489. 245 indexed citations
19.
Selvaraj, Periasamy, et al.. (2001). Effect of plasma lysozyme on liveMycobacterium tuberculosis. 16(5). 372–4. 1 indexed citations
20.
Selvaraj, Periasamy, Sunil M. Kurian, A M Reetha, N Charles, & Narayanan Parameswaran. (2000). Vitamin D receptor and interleukin-1 receptor antagonist gene polymorphism in spinal tuberculosis. Current Science. 79(7). 986–989. 3 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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