Abhinav Tiwari

129 total papers · 4.1k total citations
52 papers, 618 citations indexed

About

Abhinav Tiwari is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Abhinav Tiwari has authored 52 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Surgery and 7 papers in Genetics. Recurrent topics in Abhinav Tiwari's work include Gene Regulatory Network Analysis (6 papers), T-cell and B-cell Immunology (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Abhinav Tiwari is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), T-cell and B-cell Immunology (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Abhinav Tiwari collaborates with scholars based in United States, India and United Kingdom. Abhinav Tiwari's co-authors include Oleg A. Igoshin, Katarina Grolinger, Wilson A. Higashino, Miriam A. M. Capretz, Jatin Narula, Gábor Balázsi, Maria Laura Gennaro, J. Christian J. Ray, Timothy P. Hickling and Ali Nawras and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Abhinav Tiwari

44 papers receiving 581 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Abhinav Tiwari	233	126	122	115	55	52	618
Aditi Gupta	219 0.9×	54 0.4×	86 0.7×	119 1.0×	72 1.3×	31	653
Fumiko Satoh	121 0.5×	92 0.7×	31 0.3×	52 0.5×	67 1.2×	51	567
Yang‐Yi Chen	223 1.0×	94 0.7×	51 0.4×	69 0.6×	27 0.5×	30	613
Chenzi Zhang	284 1.2×	86 0.7×	118 1.0×	27 0.2×	42 0.8×	29	660
Vincenzo De Angelis	69 0.3×	66 0.5×	73 0.6×	61 0.5×	55 1.0×	58	577
Ming‐Ying Leung	291 1.2×	85 0.7×	133 1.1×	46 0.4×	9 0.2×	41	595
Rosario M. Piro	403 1.7×	33 0.3×	56 0.5×	75 0.7×	25 0.5×	29	598
Eleni Petraki	96 0.4×	50 0.4×	59 0.5×	70 0.6×	34 0.6×	43	621
Françoise André	109 0.5×	45 0.4×	83 0.7×	51 0.4×	44 0.8×	37	581
Steve Harris	233 1.0×	73 0.6×	55 0.5×	87 0.8×	12 0.2×	29	530

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

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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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