Laura Necula

49 total papers · 2.1k total citations
34 papers, 1.5k citations indexed

About

Laura Necula is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Laura Necula has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Laura Necula's work include Chronic Myeloid Leukemia Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Bone and Dental Protein Studies (3 papers). Laura Necula is often cited by papers focused on Chronic Myeloid Leukemia Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Bone and Dental Protein Studies (3 papers). Laura Necula collaborates with scholars based in Romania, United States and Belgium. Laura Necula's co-authors include Cristiana Tănase, Cristina Mambet, Simona Mihai, Elena Codrici, Ionela Daniela Popescu, Carmen C. Diaconu, Ana‐Maria Enciu, Coralia Bleoţu, Mihaela Chivu‐Economescu and Denisa Dragu and has published in prestigious journals such as International Journal of Molecular Sciences, World Journal of Gastroenterology and Oncotarget.

In The Last Decade

Laura Necula

34 papers receiving 1.5k citations

Hit Papers

Inflammation-Related Mech... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Laura Necula 559 331 287 278 220 34 1.5k
Allan S. Pollock 806 1.4× 371 1.1× 276 1.0× 232 0.8× 302 1.4× 39 2.0k
Elena Codrici 399 0.7× 183 0.6× 191 0.7× 145 0.5× 125 0.6× 38 1.4k
Yong Liu 541 1.0× 171 0.5× 174 0.6× 254 0.9× 141 0.6× 56 1.3k
Shotaro Naito 891 1.6× 370 1.1× 547 1.9× 456 1.6× 299 1.4× 81 2.1k
Timothy A. Fields 721 1.3× 185 0.6× 184 0.6× 129 0.5× 220 1.0× 36 1.6k
Sandrine Placier 548 1.0× 144 0.4× 146 0.5× 288 1.0× 222 1.0× 53 1.8k
Torsten Kirsch 759 1.4× 134 0.4× 176 0.6× 214 0.8× 234 1.1× 41 1.9k
Xiaoxuan Ning 1.1k 1.9× 473 1.4× 302 1.1× 228 0.8× 174 0.8× 58 2.0k
Amie Traylor 861 1.5× 219 0.7× 109 0.4× 389 1.4× 162 0.7× 33 1.6k
Nicolas Pottier 829 1.5× 547 1.7× 176 0.6× 237 0.9× 119 0.5× 53 1.5k

Countries citing papers authored by Laura Necula

Since Specialization
Citations

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

Fields of papers citing papers by Laura Necula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Necula

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Necula. A scholar is included among the top collaborators of Laura Necula 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 Laura Necula. Laura Necula 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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