Candani Tutuka

797 total citations
8 papers, 180 citations indexed

About

Candani Tutuka is a scholar working on Oncology, Immunology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Candani Tutuka has authored 8 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Immunology and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Candani Tutuka's work include CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Candani Tutuka is often cited by papers focused on CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Candani Tutuka collaborates with scholars based in Australia, United States and South Africa. Candani Tutuka's co-authors include Bo Jin, Alexandra Keegan, Qinxue Wen, Andreas Behren, Jonathan Cebon, Sagun Parakh, Simone Ostrouska, Jessica Da Gama Duarte, Anupama Pasam and Katherine Woods and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Journal of Environmental Management.

In The Last Decade

Candani Tutuka

8 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Candani Tutuka Australia	6	56	42	42	34	27	8	180
Kazuhiro Murai Japan	13	80 1.4×	34 0.8×	41 1.0×	13 0.4×	76 2.8×	35	353
Santosh Khanal United States	10	34 0.6×	23 0.5×	31 0.7×	8 0.2×	80 3.0×	16	321
Kimberly A. Ross United States	6	23 0.4×	70 1.7×	41 1.0×	9 0.3×	7 0.3×	6	352
Wei Ye China	8	60 1.1×	140 3.3×	49 1.2×	27 0.8×	20 0.7×	20	335
Edmund Ui‐Hang Sim Malaysia	10	27 0.5×	24 0.6×	23 0.5×	4 0.1×	11 0.4×	46	309
Ayesha Siddique Pakistan	8	18 0.3×	9 0.2×	12 0.3×	4 0.1×	14 0.5×	28	205
Abidemi Ajidahun United States	9	174 3.1×	16 0.4×	71 1.7×	4 0.1×	24 0.9×	12	356
Joseph Robinson United Kingdom	8	62 1.1×	51 1.2×	5 0.1×	5 0.1×	25 0.9×	10	323
Julianne L. Baron United States	11	27 0.5×	26 0.6×	20 0.5×	6 0.2×	31 1.1×	14	401
Carolina Carneiro Portugal	6	11 0.2×	8 0.2×	42 1.0×	3 0.1×	9 0.3×	20	212

Countries citing papers authored by Candani Tutuka

Since Specialization

Citations

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

Fields of papers citing papers by Candani Tutuka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Candani Tutuka

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

All Works

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8 of 8 papers shown

Duarte, Jessica Da Gama, Katherine Woods, Candani Tutuka, et al.. (2021). Ropporin-1 and 1B Are Widely Expressed in Human Melanoma and Evoke Strong Humoral Immune Responses. Cancers. 13(8). 1805–1805. 1 indexed citations

Parakh, Sagun, Ashan Musafer, Connie S.N. Li Wai Suen, et al.. (2021). PDCD1 Polymorphisms May Predict Response to Anti-PD-1 Blockade in Patients With Metastatic Melanoma. Frontiers in Immunology. 12. 672521–672521. 12 indexed citations

Deléage, Claire, Candani Tutuka, Marzena Walkiewicz, et al.. (2021). Multiparameter immunohistochemistry analysis of HIV DNA, RNA and immune checkpoints in lymph node tissue. Journal of Immunological Methods. 501. 113198–113198. 5 indexed citations

Prithviraj, Prashanth, Matthew Anaka, Erik W. Thompson, et al.. (2020). Aberrant pregnancy-associated plasma protein-A expression in breast cancers prognosticates clinical outcomes. Scientific Reports. 10(1). 13779–13779. 7 indexed citations

Hochheiser, Katharina, Han Xian Aw Yeang, Teagan Wagner, et al.. (2019). Accumulation of CD103⁺ CD8⁺ T cells in a cutaneous melanoma micrometastasis. Clinical & Translational Immunology. 8(12). e1100–e1100. 8 indexed citations

Duarte, Jessica Da Gama, Sagun Parakh, Miles C. Andrews, et al.. (2018). Autoantibodies May Predict Immune-Related Toxicity: Results from a Phase I Study of Intralesional Bacillus Calmette–Guérin followed by Ipilimumab in Patients with Advanced Metastatic Melanoma. Frontiers in Immunology. 9. 411–411. 47 indexed citations

Keegan, Alexandra, Candani Tutuka, & Paul Monis. (2009). Pathogens and indicators in wastewater matrices. Microbiology Australia. 30(1). 8–11. 1 indexed citations

Wen, Qinxue, Candani Tutuka, Alexandra Keegan, & Bo Jin. (2008). Fate of pathogenic microorganisms and indicators in secondary activated sludge wastewater treatment plants. Journal of Environmental Management. 90(3). 1442–1447. 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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