I N Todor

59 total papers · 663 total citations
38 papers, 563 citations indexed

About

I N Todor is a scholar working on Molecular Biology, Biomaterials and Oncology. According to data from OpenAlex, I N Todor has authored 38 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Biomaterials and 8 papers in Oncology. Recurrent topics in I N Todor's work include Nanoparticle-Based Drug Delivery (10 papers), Nanoparticles: synthesis and applications (6 papers) and Glutathione Transferases and Polymorphisms (3 papers). I N Todor is often cited by papers focused on Nanoparticle-Based Drug Delivery (10 papers), Nanoparticles: synthesis and applications (6 papers) and Glutathione Transferases and Polymorphisms (3 papers). I N Todor collaborates with scholars based in Ukraine, Czechia and United States. I N Todor's co-authors include В Ф Чехун, Г. И. Довбешко, G. I. Solyanik, Yu.M. Shirshov, Volodymyr Chegel, N Yu Lukianova, Olga V. Yurchenko, Natalia Rusetska, Igor P. Pogribny and Beverly Montgomery and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Cancer Letters.

In The Last Decade

I N Todor

35 papers receiving 552 citations

Author Peers

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

Author						Papers	Cites
I N Todor	254	119	79	72	71	38	563
G. I. Solyanik	272 1.1×	83 0.7×	69 0.9×	77 1.1×	73 1.0×	45	552
Elena Marangon	308 1.2×	205 1.7×	53 0.7×	75 1.0×	27 0.4×	31	627
Gunjan Tyagi	321 1.3×	142 1.2×	132 1.7×	48 0.7×	80 1.1×	28	659
Jean‐Claude Jardillier	374 1.5×	214 1.8×	100 1.3×	99 1.4×	33 0.5×	29	669
Shahrokh Safarian	314 1.2×	52 0.4×	46 0.6×	173 2.4×	28 0.4×	36	688
Tanmay Kulkarni	274 1.1×	123 1.0×	28 0.4×	42 0.6×	34 0.5×	41	593
Jiayi Fan	375 1.5×	27 0.2×	50 0.6×	45 0.6×	15 0.2×	47	688
Laura Carbonaro	79 0.3×	127 1.1×	177 2.2×	60 0.8×	19 0.3×	20	517
Rishi Kant Singh	185 0.7×	48 0.4×	47 0.6×	52 0.7×	14 0.2×	42	680
Yanmei Zhong	268 1.1×	117 1.0×	82 1.0×	125 1.7×	12 0.2×	20	549

Countries citing papers authored by I N Todor

Since Specialization

Citations

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

Fields of papers citing papers by I N Todor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I N Todor. 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 I N Todor. The network helps show where I N Todor may publish in the future.

Co-authorship network of co-authors of I N Todor

This figure shows the co-authorship network connecting the top 25 collaborators of I N Todor. A scholar is included among the top collaborators of I N Todor 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 I N Todor. I N Todor 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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