Subhashree Mohapatra

407 total citations
35 papers, 216 citations indexed

About

Subhashree Mohapatra is a scholar working on Oncology, Periodontics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Subhashree Mohapatra has authored 35 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Periodontics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Subhashree Mohapatra's work include Oral microbiology and periodontitis research (5 papers), Colorectal Cancer Screening and Detection (4 papers) and COVID-19 diagnosis using AI (4 papers). Subhashree Mohapatra is often cited by papers focused on Oral microbiology and periodontitis research (5 papers), Colorectal Cancer Screening and Detection (4 papers) and COVID-19 diagnosis using AI (4 papers). Subhashree Mohapatra collaborates with scholars based in India, United States and Czechia. Subhashree Mohapatra's co-authors include Tripti Swarnkar, Manohar Mishra, Girish Kumar Pati, Durga Madhab Kar, Janmenjoy Nayak, Bighnaraj Naik, Jagannath Sahoo, SK Dash, S. Rajeshkumar and Pradeep Kumar Rathinavelu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Microporous and Mesoporous Materials.

In The Last Decade

Subhashree Mohapatra

24 papers receiving 193 citations

Peers

Subhashree Mohapatra
Comparison fields: 5 of 83
  • Oncology 48
  • Plant Science 41
  • Radiology, Nuclear Medicine and Imaging 37
  • Artificial Intelligence 29
  • Gastroenterology 29
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Citations per field, relative to Subhashree Mohapatra
Subhashree Mohapatra · 1×
Citations per year, relative to Subhashree Mohapatra
Subhashree Mohapatra · 1×

Countries citing papers authored by Subhashree Mohapatra

Since Specialization
Citations

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

Fields of papers citing papers by Subhashree Mohapatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashree Mohapatra

This figure shows the co-authorship network connecting the top 25 collaborators of Subhashree Mohapatra. A scholar is included among the top collaborators of Subhashree Mohapatra 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 Subhashree Mohapatra. Subhashree Mohapatra 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 0
2 1
3 3
4 1
5 0
6 0
7 1
8 0
9 0
10 6
11 0
12 0
13 1
14 0
15 0
16 1
17 42
18 7
19 11
20 5

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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