Madhabananda Kar

1.6k total citations
58 papers, 858 citations indexed

About

Madhabananda Kar is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Madhabananda Kar has authored 58 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 20 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Madhabananda Kar's work include Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (4 papers) and Cancer Cells and Metastasis (4 papers). Madhabananda Kar is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (4 papers) and Cancer Cells and Metastasis (4 papers). Madhabananda Kar collaborates with scholars based in India, Italy and Singapore. Madhabananda Kar's co-authors include Birendranath Banerjee, S. V. S. Deo, Roy S, Arka Saha, Roy S, Nootan Kumar Shukla, Sanjay Thulkar, Ajay Malik, Atul Samaiya and Jayasree Sengupta and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Madhabananda Kar

51 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhabananda Kar India 17 296 272 229 158 140 58 858
Takako Yoshioka Japan 16 325 1.1× 260 1.0× 293 1.3× 75 0.5× 155 1.1× 126 1.0k
Kenichi Hirabayashi Japan 19 264 0.9× 507 1.9× 360 1.6× 133 0.8× 145 1.0× 118 1.1k
Kenneth C.W. Wong Hong Kong 13 165 0.6× 297 1.1× 273 1.2× 78 0.5× 158 1.1× 44 889
Shiu-Feng Huang Taiwan 20 241 0.8× 339 1.2× 431 1.9× 67 0.4× 120 0.9× 42 1.1k
Eun Sook Nam South Korea 19 208 0.7× 272 1.0× 241 1.1× 38 0.2× 134 1.0× 65 774
Roxane Darbousset France 11 314 1.1× 323 1.2× 91 0.4× 87 0.6× 119 0.8× 12 1.2k
Seung Yeon Ha South Korea 17 143 0.5× 300 1.1× 193 0.8× 81 0.5× 109 0.8× 82 859
Rachele Del Sordo Italy 16 250 0.8× 245 0.9× 226 1.0× 32 0.2× 194 1.4× 63 865
K. W. Schmid Germany 15 212 0.7× 235 0.9× 198 0.9× 42 0.3× 97 0.7× 36 692

Countries citing papers authored by Madhabananda Kar

Since Specialization
Citations

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

Fields of papers citing papers by Madhabananda Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhabananda Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Madhabananda Kar. A scholar is included among the top collaborators of Madhabananda Kar 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 Madhabananda Kar. Madhabananda Kar 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.
2.
Muduly, Dillip Kumar, et al.. (2025). Essential Cancer Proteins and Key Pathway Identification of Cancer through Bioinformatic Analysis. Procedia Computer Science. 258. 745–754.
3.
Kar, Madhabananda, et al.. (2024). Graph-Based Cancer Protein Identification Algorithm Reveals Key Proteins in PPI Networks. Fluctuation and Noise Letters. 2 indexed citations
4.
Purkait, Suvendu, et al.. (2024). PD-L1 Expression in Colorectal Carcinoma Correlates with the Immune Microenvironment. Journal of Gastrointestinal Cancer. 55(2). 940–949. 3 indexed citations
5.
Kar, Madhabananda, et al.. (2024). Essential cancer protein identification using graph-based random walk with restart. Computer Methods in Biomechanics & Biomedical Engineering. 29(2). 431–444.
6.
Muduly, Dillip Kumar, Madhabananda Kar, Mohammed Imaduddin, et al.. (2024). Effect of Preoperative Body Mass Index on Postoperative and Long-Term Outcomes in an East Indian Gastric Cancer Cohort. Journal of Gastrointestinal Cancer. 55(2). 829–837. 2 indexed citations
7.
8.
Kar, Madhabananda, et al.. (2023). Identification of Essential Cancer Protein in PPI Network Using Graph-Based Approach. 1144–1149. 2 indexed citations
9.
Kar, Madhabananda, et al.. (2020). Role of telomeric RAP1 in radiation sensitivity modulation and its interaction with CSC marker KLF4 in colorectal cancer. International Journal of Radiation Biology. 96(6). 790–802. 16 indexed citations
10.
Balasubiramaniyan, Vigneshwaran, et al.. (2019). Warthin-like mucoepidermoid carcinoma of the parotid gland: a diagnostic and therapeutic dilemma. SHILAP Revista de lepidopterología. 9(4). e2019122–e2019122. 11 indexed citations
11.
S, Roy, Roy S, Madhabananda Kar, et al.. (2019). Combined treatment with cisplatin and the tankyrase inhibitor XAV-939 increases cytotoxicity, abrogates cancer-stem-like cell phenotype and increases chemosensitivity of head-and-neck squamous-cell carcinoma cells. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 846. 503084–503084. 24 indexed citations
12.
Misra, Satyajeet, et al.. (2018). Severe angioedema of laryngeal inlet in a woman receiving telmisartan therapy undergoing breast conservation surgery. Indian Journal of Anaesthesia. 62(5). 393–393.
13.
S, Roy, et al.. (2018). Role of p38 MAPK in disease relapse and therapeutic resistance by maintenance of cancer stem cells in head and neck squamous cell carcinoma. Journal of Oral Pathology and Medicine. 47(5). 492–501. 31 indexed citations
14.
Saha, Arka, Roy S, Madhabananda Kar, et al.. (2018). Role of Telomeric TRF2 in Orosphere Formation and CSC Phenotype Maintenance Through Efficient DNA Repair Pathway and its Correlation with Recurrence in OSCC. Stem Cell Reviews and Reports. 14(6). 871–887. 12 indexed citations
15.
Kumar, Sunil, Sandeep Bhoriwal, Dillip Kumar Muduly, et al.. (2018). Multimodality management of incidentally detected gall bladder cancer: long term results from a tertiary care cancer centre. Journal of Gastrointestinal Oncology. 10(1). 128–133. 7 indexed citations
16.
Dutta, Deep, et al.. (2015). Adrenal Leiomyoma Mimicking Adrenal Malignancy: Diagnostic Challenges and Review of Literature. Journal of Endocrinology and Metabolism. 5(5). 304–308. 2 indexed citations
17.
Kar, Madhabananda, D. Ghosh, & Jayasree Sengupta. (2007). Histochemical and morphological examination of proliferation and apoptosis in human first trimester villous trophoblast. Human Reproduction. 22(11). 2814–2823. 36 indexed citations
18.
Kar, Madhabananda, et al.. (2006). Malignant peripheral nerve sheath tumors (MPNST) – Clinicopathological study and treatment outcome of twenty-four cases. World Journal of Surgical Oncology. 4(1). 55–55. 155 indexed citations
19.
Deo, Suryanarayana, et al.. (2005). A Prospective Randomized Trial Comparing Harmonic Scalpel versus Electrocautery for Pectoralis Major Myocutaneous Flap Dissection. Plastic & Reconstructive Surgery. 115(4). 1006–1009. 28 indexed citations
20.
Purkayastha, Joydeep, et al.. (2004). Post‐mastectomy chylous fistula: Anatomical and clinical implications. Clinical Anatomy. 17(5). 413–415. 26 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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