Syamsundar Mandal

926 total citations
41 papers, 722 citations indexed

About

Syamsundar Mandal is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Syamsundar Mandal has authored 41 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 11 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Syamsundar Mandal's work include Global Cancer Incidence and Screening (6 papers), Head and Neck Cancer Studies (6 papers) and Cancer-related Molecular Pathways (5 papers). Syamsundar Mandal is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), Head and Neck Cancer Studies (6 papers) and Cancer-related Molecular Pathways (5 papers). Syamsundar Mandal collaborates with scholars based in India, United States and France. Syamsundar Mandal's co-authors include Anup Roy, Chinmay Kumar Panda, Rengaswamy Sankaranarayanan, Maqsood Siddiqi, Donald Maxwell Parkin, Agnihotram V. Ramanakumar, Susanta Roychoudhury, Diptendra Kumar Sarkar, Neelanjana Chunder and Sudip Kumar Dutta and has published in prestigious journals such as Journal of Clinical Oncology, Biochemical and Biophysical Research Communications and International Journal of Cancer.

In The Last Decade

Syamsundar Mandal

39 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Syamsundar Mandal India 16 239 224 126 89 83 41 722
Zahra Mojtahedi Iran 20 371 1.6× 201 0.9× 94 0.7× 101 1.1× 107 1.3× 71 859
Charles Hendrickse United Kingdom 12 271 1.1× 225 1.0× 197 1.6× 52 0.6× 122 1.5× 24 776
Dongning He United States 19 449 1.9× 184 0.8× 89 0.7× 41 0.5× 101 1.2× 40 983
Jose Guillen United States 11 258 1.1× 229 1.0× 119 0.9× 48 0.5× 157 1.9× 22 825
Lihua Wu China 14 368 1.5× 165 0.7× 129 1.0× 27 0.3× 51 0.6× 62 855
Weiguo He United States 22 285 1.2× 197 0.9× 91 0.7× 127 1.4× 240 2.9× 54 1.1k
Robert R. LaBadie United States 21 234 1.0× 191 0.9× 46 0.4× 62 0.7× 37 0.4× 51 1.0k
Yoko Kashida Japan 16 296 1.2× 113 0.5× 111 0.9× 43 0.5× 43 0.5× 46 739
Patrizia Bonelli Italy 16 517 2.2× 158 0.7× 135 1.1× 32 0.4× 41 0.5× 54 1.0k
Tae Eung Kim South Korea 16 317 1.3× 155 0.7× 79 0.6× 28 0.3× 35 0.4× 27 709

Countries citing papers authored by Syamsundar Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Syamsundar Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syamsundar Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of Syamsundar Mandal. A scholar is included among the top collaborators of Syamsundar Mandal 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 Syamsundar Mandal. Syamsundar Mandal 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.
Banerjee, Soma, et al.. (2023). Clinical Profile and Prognostic Markers of Acute on Chronic Liver Failure (ACLF): A Single-center Experience from East India. Journal of Clinical and Experimental Hepatology. 13(6). 1017–1024. 1 indexed citations
2.
Mahata, Sutapa, et al.. (2022). Evaluation of NRS and NPSI pain scores in advanced ovarian carcinoma patients undergoing surgery and first-line chemotherapy. Journal of Clinical and Translational Research. 1 indexed citations
3.
Mahata, Sutapa, et al.. (2022). Evaluation of numerical rating scale and neuropathic pain symptom inventory pain scores in advanced ovarian carcinoma patients undergoing surgery and first-line chemotherapy.. PubMed. 8(1). 54–60. 2 indexed citations
4.
Alam, Neyaz, et al.. (2022). Orchestrated expression of vasculogenic mimicry and laminin‐5γ2 is an independent prognostic marker in oral squamous cell carcinoma. International Journal of Experimental Pathology. 103(2). 54–64. 5 indexed citations
5.
Das, Ananya, et al.. (2022). Understanding the Correlation between Metabolic Regulator SIRT1 and Exosomes with CA‐125 in Ovarian Cancer: A Clinicopathological Study. BioMed Research International. 2022(1). 5346091–5346091. 4 indexed citations
6.
Mandal, Syamsundar & Jayanta Chakrabarti. (2021). PROJECTION OF NEW CANCER CASES IN THE STATE OF WEST BENGAL, INDIA - 2020: Estimated district wise new cancer cases in West Bengal-2020. International Journal of Medical and Biomedical Studies. 5(3).
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10.
Sur, Subhayan, Debolina Pal, Syamsundar Mandal, Anup Roy, & Chinmay Kumar Panda. (2015). Tea polyphenols epigallocatechin gallete and theaflavin restrict mouse liver carcinogenesis through modulation of self-renewal Wnt and hedgehog pathways. The Journal of Nutritional Biochemistry. 27. 32–42. 47 indexed citations
11.
Sarkar, Diptendra Kumar, et al.. (2014). Can Molecular Subtyping Replace Axillary Nodal Status as Prognostic Marker in Breast Cancer?. Indian Journal of Surgical Oncology. 5(4). 282–289. 6 indexed citations
12.
Sarkar, Diptendra Kumar, et al.. (2014). Role of Cyclooxygenase 2 (COX-2) in Prognosis of Breast Cancer. Indian Journal of Surgical Oncology. 5(1). 59–65. 56 indexed citations
13.
Das, Soumen, et al.. (2012). Role of Nuclear Factor-κB in female Breast Cancer: A Study in Indian Patients. Asian Pacific Journal of Cancer Prevention. 13(11). 5511–5515. 13 indexed citations
14.
Mandal, Syamsundar, et al.. (2012). Prognostic Significance of HER-2/neu and Survival of Breast Cancer Patients Attending a Specialized Breast Clinic in Kolkata, Eastern India. Asian Pacific Journal of Cancer Prevention. 13(8). 3851–3855. 14 indexed citations
15.
Nayak, Sandeep, et al.. (2009). A case-control study of roles of diet in colorectal carcinoma in a South Indian Population.. PubMed. 10(4). 565–8. 30 indexed citations
16.
Mandal, Syamsundar, et al.. (2008). Role of tobacco in the development of head and neck squamous cell carcinoma in an eastern Indian population.. PubMed. 9(3). 381–6. 36 indexed citations
17.
Roy, Anup, et al.. (2006). Deletion mapping of chromosome 13q in head and neck squamous cell carcinoma in Indian patients: correlation with prognosis of the tumour. International Journal of Experimental Pathology. 87(2). 151–161. 19 indexed citations
18.
Chunder, Neelanjana, Syamsundar Mandal, Anup Roy, Susanta Roychoudhury, & Chinmay Kumar Panda. (2004). Differential Association of BRCA1 and BRCA2 Genes with Some Breast Cancer–Associated Genes in Early and Late Onset Breast Tumors. Annals of Surgical Oncology. 11(12). 1045–1055. 13 indexed citations
19.
Chunder, Neelanjana, et al.. (2003). Deletion Mapping of Chromosome 1 in Early Onset and Late Onset Breast Tumors – AComparative Study in Eastern India. Pathology - Research and Practice. 199(5). 313–321. 27 indexed citations
20.
Mandal, Syamsundar, et al.. (2000). Pattern of Compliance with Treatment and Follow-up of Cervical Cancer Patients at Chittaranjan National Cancer Institute, Calcutta.. PubMed. 1(4). 289–292. 5 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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