Januka Khanal

546 total citations
6 papers, 43 citations indexed

About

Januka Khanal is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Januka Khanal has authored 6 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Januka Khanal's work include Glioma Diagnosis and Treatment (3 papers), Biochemical and Molecular Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Januka Khanal is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Biochemical and Molecular Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Januka Khanal collaborates with scholars based in United States and Germany. Januka Khanal's co-authors include Penny E. Shockett, Robert R. Kraemer, V. Daniel Castracane, Matthew G. Oser, Jesse Novak, Roderick T. Bronson, William G. Kaelin, Rebecca B. Jennings, Samuel K. McBrayer and Javid J. Moslehi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Radiation Oncology*Biology*Physics and Neuro-Oncology.

In The Last Decade

Januka Khanal

6 papers receiving 42 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Januka Khanal United States	3	29	11	8	5	5	6	43
Moheb Ghobrial United States	2	28 1.0×	14 1.3×	6 0.8×	4 0.8×	6 1.2×	2	48
Cristina Rubinetto Italy	2	44 1.5×	5 0.5×	7 0.9×	4 0.8×	2 0.4×	2	61
Xueyun Bi China	3	29 1.0×	17 1.5×	24 3.0×	3 0.6×	4 0.8×	6	51
Francisco Morales-Rodriguez Netherlands	2	26 0.9×	5 0.5×	16 2.0×		2 0.4×	3	42
Andrea Guennoun Qatar	2	15 0.5×	21 1.9×	8 1.0×	4 0.8×	4 0.8×	4	39
Piet Molenaar Netherlands	3	29 1.0×	4 0.4×	9 1.1×		4 0.8×	3	41
John T. McGuire United States	4	23 0.8×	8 0.7×	5 0.6×	1 0.2×	5 1.0×	4	51
Christine N. Goldfarb United States	2	20 0.7×	5 0.5×	9 1.1×		5 1.0×	2	31
Gavin Wang United States	4	40 1.4×	7 0.6×	8 1.0×		4 0.8×	10	62
Tanja Wesse Germany	4	27 0.9×	5 0.5×	6 0.8×		7 1.4×	4	35

Countries citing papers authored by Januka Khanal

Since Specialization

Citations

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

Fields of papers citing papers by Januka Khanal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Januka Khanal

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Shi, Diana D., J Lee, Januka Khanal, et al.. (2023). Protocol to establish a genetically engineered mouse model of IDH1-mutant astrocytoma. STAR Protocols. 4(2). 102281–102281. 2 indexed citations

2.

Gao, Wenhua, Januka Khanal, Michael M. Levitt, et al.. (2021). Identification of De Novo Pyrimidine Synthesis as a Targetable Vulnerability in a Novel IDH1 Mutant Engineered Astrocytoma Model. International Journal of Radiation Oncology*Biology*Physics. 111(3). S86–S86. 2 indexed citations

3.

Shi, Diana D., Michael M. Levitt, Jennifer E. Endress, et al.. (2021). DDRE-29. DE NOVO PYRIMIDINE SYNTHESIS IS A TARGETABLE VULNERABILITY IN IDH-MUTANT GLIOMA. Neuro-Oncology Advances. 3(Supplement_1). i12–i13. 1 indexed citations

4.

Shi, Diana D., Adam Wang, Wenhua Gao, et al.. (2020). TMOD-14. CREATION OF A GENETICALLY ENGINEERED MOUSE MODEL OF ANAPLASTIC ASTROCYTOMA DRIVEN BY THE IDH1-R132H ONCOGENE. Neuro-Oncology. 22(Supplement_2). ii230–ii231. 1 indexed citations

5.

McBrayer, Samuel K., Benjamin A. Olenchock, Diana D. Shi, et al.. (2018). Autochthonous tumors driven by Rb1 loss have an ongoing requirement for the RBP2 histone demethylase. Proceedings of the National Academy of Sciences. 115(16). E3741–E3748. 12 indexed citations

6.

Shockett, Penny E., et al.. (2016). Plasma cell-free mitochondrial DNA declines in response to prolonged moderate aerobic exercise. Physiological Reports. 4(1). e12672–e12672. 25 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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