Sanjeev Kumar Sagwal

576 total citations
12 papers, 436 citations indexed

About

Sanjeev Kumar Sagwal is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Sanjeev Kumar Sagwal has authored 12 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Sanjeev Kumar Sagwal's work include Plasma Applications and Diagnostics (10 papers), Nanoplatforms for cancer theranostics (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). Sanjeev Kumar Sagwal is often cited by papers focused on Plasma Applications and Diagnostics (10 papers), Nanoplatforms for cancer theranostics (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). Sanjeev Kumar Sagwal collaborates with scholars based in Germany, Brazil and United States. Sanjeev Kumar Sagwal's co-authors include Sander Bekeschus, Rajesh Kumar Gandhirajan, Anke Schmidt, Eric Freund, Felix Nießner, Thomas von Woedtke, Ramona Clemen, Steffen Emmert, Klaus‐Dieter Weltmann and Julia Berner and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Sanjeev Kumar Sagwal

12 papers receiving 436 citations

Peers

Sanjeev Kumar Sagwal
Sanjeev Kumar Sagwal
Citations per year, relative to Sanjeev Kumar Sagwal Sanjeev Kumar Sagwal (= 1×) peers Felix Nießner

Countries citing papers authored by Sanjeev Kumar Sagwal

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Kumar Sagwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjeev Kumar Sagwal. 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 Sanjeev Kumar Sagwal. The network helps show where Sanjeev Kumar Sagwal may publish in the future.

Co-authorship network of co-authors of Sanjeev Kumar Sagwal

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

All Works

12 of 12 papers shown
1.
Sagwal, Sanjeev Kumar & Sander Bekeschus. (2021). ROS Pleiotropy in Melanoma and Local Therapy with Physical Modalities. Oxidative Medicine and Cellular Longevity. 2021(1). 6816214–6816214. 9 indexed citations
2.
Bekeschus, Sander, Julia Berner, Sanjeev Kumar Sagwal, et al.. (2021). Tumor cell metabolism correlates with resistance to gas plasma treatment: The evaluation of three dogmas. Free Radical Biology and Medicine. 167. 12–28. 45 indexed citations
3.
Miebach, Lea, Eric Freund, Stefan Horn, et al.. (2021). Tumor cytotoxicity and immunogenicity of a novel V-jet neon plasma source compared to the kINPen. Scientific Reports. 11(1). 136–136. 27 indexed citations
4.
Gandhirajan, Rajesh Kumar, et al.. (2021). The amino acid metabolism is essential for evading physical plasma-induced tumour cell death. British Journal of Cancer. 124(11). 1854–1863. 12 indexed citations
5.
Boeckmann, Lars, Thoralf Bernhardt, Mirijam Schäfer, et al.. (2020). Aktuelle Indikationen der Plasmatherapie in der Dermatologie. Der Hautarzt. 71(2). 109–113. 14 indexed citations
6.
Sagwal, Sanjeev Kumar, Eric Freund, Rajesh Kumar Gandhirajan, et al.. (2020). Combination of Gas Plasma and Radiotherapy Has Immunostimulatory Potential and Additive Toxicity in Murine Melanoma Cells in Vitro. International Journal of Molecular Sciences. 21(4). 1379–1379. 33 indexed citations
7.
Bekeschus, Sander, Sanjeev Kumar Sagwal, Ingo Stoffels, et al.. (2020). xCT (SLC7A11) expression confers intrinsic resistance to physical plasma treatment in tumor cells. Redox Biology. 30. 101423–101423. 51 indexed citations
8.
Bekeschus, Sander, Ramona Clemen, Felix Nießner, et al.. (2020). Medical Gas Plasma Jet Technology Targets Murine Melanoma in an Immunogenic Fashion. Advanced Science. 7(10). 1903438–1903438. 100 indexed citations
9.
Sagwal, Sanjeev Kumar, Julia Berner, Anke Schmidt, et al.. (2020). Plasma Treatment Limits Cutaneous Squamous Cell Carcinoma Development In Vitro and In Vivo. Cancers. 12(7). 1993–1993. 34 indexed citations
10.
Berner, Julia, Christian Seebauer, Sanjeev Kumar Sagwal, et al.. (2020). Medical Gas Plasma Treatment in Head and Neck Cancer—Challenges and Opportunities. Applied Sciences. 10(6). 1944–1944. 13 indexed citations
11.
Sagwal, Sanjeev Kumar, et al.. (2018). Combination of chemotherapy and physical plasma elicits melanoma cell death via upregulation of SLC22A16. Cell Death and Disease. 9(12). 1179–1179. 96 indexed citations
12.
Gandhirajan, Rajesh Kumar, et al.. (2017). Induction of Immunogenic Cell Death upon Combinatorial Therapy with Cold Physical Plasma and Chemotherapeutic Agents in Melanoma. Free Radical Biology and Medicine. 112. 92–93. 2 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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