Abhinav Tiwari

4.2k citations
52 papers · 627 indexed · h-index 13
Topics
Gene Regulatory Network Analysis (6 papers)T-cell and B-cell Immunology (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaACS Nano

In The Last Decade

Abhinav Tiwari

45 papers receiving 590 citations

Peers

Abhinav Tiwari
Comparison fields: 5 of 123
  • Molecular Biology 235
  • Information Systems 126
  • Computer Networks and Communications 122
  • Genetics 116
  • Surgery 57
Replace Chengwen Zhang with:
Chengwen Zhang China
Eva Iglesias Spain
Mohamed Abouelhoda Saudi Arabia
Ji Hyung Hong South Korea
Ileana Constantinescu Romania
Yue Pan China
Wendell Jones United States
Minzhe Guo United States
I‐Ping Tu Taiwan
Abhinav Tiwari relative to Chengwen Zhang China Chengwen Zhang's profile →
Citations per field
00.5×1.5×2.4×
Chengwen Zhang · 1×
Citations per year

Countries citing papers authored by Abhinav Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Tiwari

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Tiwari. A scholar is included among the top collaborators of Abhinav Tiwari 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 Abhinav Tiwari. Abhinav Tiwari 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 1
2 0
3 3
4 0
5 0
6 0
7 12
8 1
9 1
10 2
11 3
12 15
13 16
14 9
15 43
16 17
17 27
18 49
19 51
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About Abhinav Tiwari

Abhinav Tiwari is a scholar working on Health Information Management, Pharmacy and Emergency Medicine, having authored 52 papers that have together received 627 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), T-cell and B-cell Immunology (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Information Systems (126 citations), Computer Networks and Communications (122 citations) and Genetics (116 citations). Abhinav Tiwari has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Oleg A. Igoshin, Katarina Grolinger, Miriam A. M. Capretz, Wilson A. Higashino, Jatin Narula, Gábor Balázsi, Maria Laura Gennaro, J. Christian J. Ray, Timothy P. Hickling and Ali Nawras. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and ACS Nano.

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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