Jvalini Dwarkasing

680 total citations
22 papers, 406 citations indexed

About

Jvalini Dwarkasing is a scholar working on Oncology, Molecular Biology and Physiology. According to data from OpenAlex, Jvalini Dwarkasing has authored 22 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 7 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Jvalini Dwarkasing's work include Cutaneous Melanoma Detection and Management (14 papers), Melanoma and MAPK Pathways (6 papers) and CAR-T cell therapy research (4 papers). Jvalini Dwarkasing is often cited by papers focused on Cutaneous Melanoma Detection and Management (14 papers), Melanoma and MAPK Pathways (6 papers) and CAR-T cell therapy research (4 papers). Jvalini Dwarkasing collaborates with scholars based in Netherlands, United States and Germany. Jvalini Dwarkasing's co-authors include Klaske van Norren, Renger F. Witkamp, Mark V. Boekschoten, Carolien Lute, Dennie Tempel, Miriam van Dijk, Daniel L. Marks, Pierluigi Plastina, Jocelijn Meijerink and Michiel G.J. Balvers and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Annals of Oncology.

In The Last Decade

Jvalini Dwarkasing

20 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jvalini Dwarkasing Netherlands	11	155	150	134	43	36	22	406
Yuki Ozaki Japan	13	161 1.0×	185 1.2×	96 0.7×	22 0.5×	21 0.6×	40	483
Aimee Jones United States	6	260 1.7×	195 1.3×	168 1.3×	35 0.8×	21 0.6×	9	582
Takeshi Suzuki Japan	12	54 0.3×	191 1.3×	143 1.1×	26 0.6×	30 0.8×	37	507
Kathryn L. Corbin United States	14	169 1.1×	287 1.9×	33 0.2×	41 1.0×	95 2.6×	25	815
Purevsuren Jambal United States	9	106 0.7×	255 1.7×	43 0.3×	16 0.4×	33 0.9×	16	479
Calvin Vu United States	5	132 0.9×	165 1.1×	103 0.8×	35 0.8×	51 1.4×	5	535
Karin Dillner Sweden	10	115 0.7×	227 1.5×	111 0.8×	20 0.5×	24 0.7×	11	547
Sanz Anquela Jm Spain	13	142 0.9×	116 0.8×	75 0.6×	38 0.9×	20 0.6×	32	611
Emily Young United States	12	87 0.6×	194 1.3×	68 0.5×	29 0.7×	38 1.1×	20	518
Richard J. Mann Australia	8	100 0.6×	421 2.8×	55 0.4×	15 0.3×	45 1.3×	9	570

Countries citing papers authored by Jvalini Dwarkasing

Since Specialization

Citations

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

Fields of papers citing papers by Jvalini Dwarkasing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jvalini Dwarkasing

This figure shows the co-authorship network connecting the top 25 collaborators of Jvalini Dwarkasing. A scholar is included among the top collaborators of Jvalini Dwarkasing 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 Jvalini Dwarkasing. Jvalini Dwarkasing 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

Bellomo, Domenico, et al.. (2025). Flawed Benchmarks and Biased Cohorts: Reassessing the Evidence for CP ‐ GEP (Merlin) Versus 31‐ GEP ( DecisionDx ‐Melanoma). International Journal of Dermatology. 65(1). 12–14.

Amaral, Teresa, Tobias Sinnberg, Heike Niessner, et al.. (2025). Risk stratification using the Merlin Assay (CP-GEP) in an independent cohort of 930 patients with clinical stage I/II melanoma who did not undergo sentinel lymph node biopsy. European Journal of Cancer. 220. 115372–115372. 5 indexed citations

Yu, Wesley Y., et al.. (2024). Enhanced Risk Stratification for Sentinel Lymph Node Biopsy in Head and Neck Melanoma Using the Merlin Assay (CP-GEP). Annals of Surgical Oncology. 32(4). 2748–2755. 1 indexed citations

Mulder, Evalyn E.A.P., Iva Johansson, Dirk J. Grünhagen, et al.. (2023). Using a clinicopathologic and gene expression (CP-GEP) model to identify stage I-II melanoma patients at risk for disease relapse. European Journal of Surgical Oncology. 49(2). e33–e34. 1 indexed citations

Amaral, Teresa, Tobias Sinnberg, Heike Niessner, et al.. (2022). Identification of stage I/II melanoma patients at high risk for recurrence using a model combining clinicopathologic factors with gene expression profiling (CP-GEP). European Journal of Cancer. 182. 155–162. 23 indexed citations

Amaral, Teresa, Tobias Sinnberg, Heike Niessner, et al.. (2022). Prognostic significance of the CP-GEP assay combining clinicopathologic factors and gene expression profiling in patients (pts) with AJCC v8 stage I/II cutaneous melanoma (CM).. Journal of Clinical Oncology. 40(16_suppl). 9564–9564.

Thao, Viengneesee, et al.. (2022). Cost evaluation of the Merlin assay for predicting melanoma sentinel lymph node biopsy metastasis. International Journal of Dermatology. 62(1). 56–61. 3 indexed citations

Mulder, Evalyn E.A.P., Iva Johansson, Dirk J. Grünhagen, et al.. (2022). Using a Clinicopathologic and Gene Expression (CP-GEP) Model to Identify Stage I–II Melanoma Patients at Risk of Disease Relapse. Cancers. 14(12). 2854–2854. 20 indexed citations

Hieken, Tina J., Enrica Quattrocchi, Jvalini Dwarkasing, et al.. (2022). Using the Merlin assay for reducing sentinel lymph node biopsy complications in melanoma: a retrospective cohort study. International Journal of Dermatology. 61(7). 848–854. 5 indexed citations

10.

Johansson, Iva, Dennie Tempel, Jvalini Dwarkasing, et al.. (2021). Validation of a clinicopathological and gene expression profile model to identify patients with cutaneous melanoma where sentinel lymph node biopsy is unnecessary. European Journal of Surgical Oncology. 48(2). 320–325. 27 indexed citations

11.

Dijk, Miriam van, Jvalini Dwarkasing, Hans J. M. Swarts, et al.. (2021). Effects of whole-body vibration training in a cachectic C26 mouse model. Scientific Reports. 11(1). 21563–21563. 3 indexed citations

12.

Bellomo, Domenico, Enrica Quattrocchi, M. van Vliet, et al.. (2020). Identification of stage IIA melanoma patients at high risk for disease relapse using a clinicopathologic and gene expression model.. Journal of Clinical Oncology. 38(15_suppl). e22088–e22088. 2 indexed citations

13.

Mulder, Evalyn E.A.P., Jvalini Dwarkasing, Loes M. Hollestein, et al.. (2019). Validation of a clinicopathological and gene expression profile (CP-GEP) model for sentinel lymph node metastasis in primary cutaneous melanoma. Annals of Oncology. 30. v540–v540. 5 indexed citations

14.

Norren, Klaske van, Jvalini Dwarkasing, & Renger F. Witkamp. (2017). The role of hypothalamic inflammation, the hypothalamic–pituitary–adrenal axis and serotonin in the cancer anorexia–cachexia syndrome. Current Opinion in Clinical Nutrition & Metabolic Care. 20(5). 396–401. 49 indexed citations

15.

Dwarkasing, Jvalini, et al.. (2016). Increased hypothalamic serotonin turnover in inflammation-induced anorexia. BMC Neuroscience. 17(1). 26–26. 38 indexed citations

16.

Dwarkasing, Jvalini, Daniel L. Marks, Renger F. Witkamp, & Klaske van Norren. (2015). Hypothalamic inflammation and food intake regulation during chronic illness. Peptides. 77. 60–66. 31 indexed citations

17.

Norren, Klaske van, Miriam van Dijk, Carolien Lute, et al.. (2015). Behavioural changes are a major contributing factor in the reduction of sarcopenia in caloric-restricted ageing mice. Journal of Cachexia Sarcopenia and Muscle. 6(3). 253–268. 36 indexed citations

18.

Dwarkasing, Jvalini, Mark V. Boekschoten, Josep M. Argilés, et al.. (2015). Differences in food intake of tumour‐bearing cachectic mice are associated with hypothalamic serotonin signalling. Journal of Cachexia Sarcopenia and Muscle. 6(1). 84–94. 42 indexed citations

19.

Meijerink, Jocelijn, Michiel G.J. Balvers, Pierluigi Plastina, et al.. (2014). Inhibition of COX‐2‐mediated eicosanoid production plays a major role in the anti‐inflammatory effects of the endocannabinoid N‐docosahexaenoylethanolamine (DHEA) in macrophages. British Journal of Pharmacology. 172(1). 24–37. 54 indexed citations

20.

Dwarkasing, Jvalini, Miriam van Dijk, Mark V. Boekschoten, et al.. (2013). Hypothalamic food intake regulation in a cancer‐cachectic mouse model. Journal of Cachexia Sarcopenia and Muscle. 5(2). 159–169. 20 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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