Abhik Saha

1.7k citations
41 papers · 1.3k indexed · h-index 20
Topics
Viral-associated cancers and disorders (26 papers)Cytomegalovirus and herpesvirus research (14 papers)Lymphoma Diagnosis and Treatment (8 papers)
Partner nations
IndiaUnited StatesJapan

In The Last Decade

Abhik Saha

38 papers receiving 1.3k citations

Peers

Abhik Saha
Comparison fields: 5 of 84
  • Oncology 921
  • Epidemiology 529
  • Molecular Biology 388
  • Pathology and Forensic Medicine 281
  • Immunology 236
Replace Masanao Murakami with:
Masanao Murakami United States
Pramod P. Naranatt United States
Sumita Bhaduri‐McIntosh United States
Lindsay C. Spender United Kingdom
Li Hu China
Daphne van Leeuwen Netherlands
Sang‐Hoon Sin United States
Kathy Shire Canada
Chris Dawson United Kingdom
Susan M. Fennewald United States
Abhik Saha relative to Masanao Murakami United States Masanao Murakami's profile →
Citations per field
00.5×1.5×2.3×
Masanao Murakami · 1×
Citations per year

Countries citing papers authored by Abhik Saha

Since Specialization
Citations

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

Fields of papers citing papers by Abhik Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhik Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Abhik Saha. A scholar is included among the top collaborators of Abhik Saha 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 Abhik Saha. Abhik Saha 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
#WorkIndexed citations
1 2
2 0
3 4
4 1
5 17
6 27
7 8
8 13
9 1
10 36
11 28
12 3
13 27
14 8
15 75
16 39
17 19
18 92
19 92
20 11

About Abhik Saha

Abhik Saha is a scholar working on Oncology, Pathology and Forensic Medicine and Physiology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (26 papers), Cytomegalovirus and herpesvirus research (14 papers) and Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Oncology (921 citations), Pathology and Forensic Medicine (281 citations) and Epidemiology (529 citations). Abhik Saha has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Erle S. Robertson, Masanao Murakami, Qiliang Cai, Hem Chandra Jha, Jie Lu, Santosh Kumar Upadhyay, Pankaj Kumar, Rajeev Kaul, Shuvomoy Banerjee and Jie Lu. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

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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