Subramanyam Dasari

971 total citations
30 papers, 724 citations indexed

About

Subramanyam Dasari is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Subramanyam Dasari has authored 30 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Subramanyam Dasari's work include Cancer Cells and Metastasis (7 papers), Cervical Cancer and HPV Research (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Subramanyam Dasari is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Cervical Cancer and HPV Research (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Subramanyam Dasari collaborates with scholars based in United States, India and Spain. Subramanyam Dasari's co-authors include Lokanatha Valluru, Wudayagiri Rajendra, Anirban Mitra, Yiming Fang, Gnanasekar Munirathinam, Maarten C. Bosland, Andre Kajdacsy‐Balla, Chandrasekhar Kathera, Buddolla Viswanath and Arthala Praveen Kumar and has published in prestigious journals such as Cancer Research, European Journal of Pharmacology and Cancer Letters.

In The Last Decade

Subramanyam Dasari

30 papers receiving 710 citations

Peers

Subramanyam Dasari
Comparison fields: 5 of 117
  • Molecular Biology 348
  • Cancer Research 134
  • Oncology 132
  • Immunology 85
  • Food Science 78
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Shijia Liu China
M. Eknæs Norway
Simone Marcone Ireland
Cristabelle De Souza United States
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Alireza Isazadeh Iran
Vera Alves Portugal
Julio César Torres‐Romero Mexico
Han Cai China
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Citations per field, relative to Subramanyam Dasari
Subramanyam Dasari · 1×
Citations per year, relative to Subramanyam Dasari
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Countries citing papers authored by Subramanyam Dasari

Since Specialization
Citations

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

Fields of papers citing papers by Subramanyam Dasari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subramanyam Dasari

This figure shows the co-authorship network connecting the top 25 collaborators of Subramanyam Dasari. A scholar is included among the top collaborators of Subramanyam Dasari 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 Subramanyam Dasari. Subramanyam Dasari 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 23
2 12
3 24
4 73
5 28
6 14
7 4
8 42
9 56
10 15
11 21
12 142
13 3
14 20
15 10
16
Brucellosis and tuberculosis:Clinical overlap and pitfalls
10
17
Effect of humic acids and sunlight on the cytotoxicity of engineered zinc oxide and titanium dioxide nanoparticles to a river bacterial assemblage
1
18 3
19 24
20
Hong Kong students' approaches to learning: Cross-cultural comparisons
14

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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