C S Premalata

434 total citations
39 papers, 295 citations indexed

About

C S Premalata is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, C S Premalata has authored 39 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 13 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in C S Premalata's work include Ovarian cancer diagnosis and treatment (8 papers), Lymphoma Diagnosis and Treatment (8 papers) and Viral-associated cancers and disorders (6 papers). C S Premalata is often cited by papers focused on Ovarian cancer diagnosis and treatment (8 papers), Lymphoma Diagnosis and Treatment (8 papers) and Viral-associated cancers and disorders (6 papers). C S Premalata collaborates with scholars based in India. C S Premalata's co-authors include Lakshmi Krishnamoorthy, Gayathri Ramesh, Rekha V. Kumar, Linu Abraham Jacob, KC Lakshmaiah, M. Malathi, C. Ramesh, L. Appaji, L K Rajeev and Sandeep Kumar and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

C S Premalata

39 papers receiving 287 citations

Peers

C S Premalata
Comparison fields: 5 of 46
  • Molecular Biology 123
  • Oncology 93
  • Pathology and Forensic Medicine 75
  • Pulmonary and Respiratory Medicine 66
  • Cancer Research 47
Replace Nhu Ngo with:
Nhu Ngo United States
C. Elizabeth Hook United Kingdom
Aparna Pallavajjala United States
Faruk Skenderi Bosnia and Herzegovina
Tien Anh N. Tran United States
Christian Lussier Canada
Giacomo Santandrea Italy
Meredith Stevers United States
I‐Ting Yu Taiwan
P. Iyengar Canada
Nhu Ngo United States View profile →
Citations per field, relative to C S Premalata
C S Premalata · 1×
Citations per year, relative to C S Premalata
C S Premalata · 1×

Countries citing papers authored by C S Premalata

Since Specialization
Citations

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

Fields of papers citing papers by C S Premalata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C S Premalata. 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 C S Premalata. The network helps show where C S Premalata may publish in the future.

Co-authorship network of co-authors of C S Premalata

This figure shows the co-authorship network connecting the top 25 collaborators of C S Premalata. A scholar is included among the top collaborators of C S Premalata 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 C S Premalata. C S Premalata 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
# Work Indexed citations
1 2
2 11
3 1
4 10
5 2
6 11
7 18
8 1
9
Hepatic angiomyolipoma, inflammatory variant: a case report and review of literature
2
10 7
11 5
12 23
13 1
14 15
15 30
16
A rare cytogenetic presentation of acute myeloid leukemia (AML-M2).
4
17 2
18 5
19 20
20 12

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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2026