Martina Nazarea

535 total citations
9 papers, 450 citations indexed

About

Martina Nazarea is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Martina Nazarea has authored 9 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Martina Nazarea's work include Adenosine and Purinergic Signaling (3 papers), Immune Cell Function and Interaction (3 papers) and Peptidase Inhibition and Analysis (2 papers). Martina Nazarea is often cited by papers focused on Adenosine and Purinergic Signaling (3 papers), Immune Cell Function and Interaction (3 papers) and Peptidase Inhibition and Analysis (2 papers). Martina Nazarea collaborates with scholars based in Japan. Martina Nazarea's co-authors include Tasuku Honjo, Motonobu Nakamura, Sadao Imamura, Shigeru Kondo, Manabu Sugai, Fumikazu Okajima, Yoichi Kondo, Kimie Sho, Kōichi Sato and Kei Tashiro and has published in prestigious journals such as Journal of Biological Chemistry, Endocrinology and Gene.

In The Last Decade

Martina Nazarea

9 papers receiving 445 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martina Nazarea Japan 6 303 145 71 63 44 9 450
Ashley Mackey United States 9 243 0.8× 68 0.5× 38 0.5× 34 0.5× 86 2.0× 13 389
Janna Schneppenheim Germany 11 149 0.5× 154 1.1× 32 0.5× 114 1.8× 72 1.6× 14 364
Iwona Pilecka Poland 11 329 1.1× 77 0.5× 20 0.3× 73 1.2× 215 4.9× 11 508
Tsuneyasu Kaisho Japan 6 162 0.5× 198 1.4× 228 3.2× 97 1.5× 20 0.5× 7 494
Andrea V. Leisewitz Chile 10 229 0.8× 61 0.4× 28 0.4× 67 1.1× 10 0.2× 14 345
Maristella Tassi Italy 10 197 0.7× 184 1.3× 14 0.2× 50 0.8× 59 1.3× 12 486
Joël Babdor France 9 176 0.6× 169 1.2× 13 0.2× 69 1.1× 28 0.6× 9 421
Bärbel Edelmann Germany 10 238 0.8× 78 0.5× 27 0.4× 19 0.3× 37 0.8× 12 380
Yukiko Noda Japan 7 280 0.9× 68 0.5× 10 0.1× 42 0.7× 140 3.2× 10 405
Muhammad Tariq Masood Khan Pakistan 9 299 1.0× 31 0.2× 62 0.9× 22 0.3× 134 3.0× 26 477

Countries citing papers authored by Martina Nazarea

Since Specialization
Citations

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

Fields of papers citing papers by Martina Nazarea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Nazarea

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Nazarea. A scholar is included among the top collaborators of Martina Nazarea 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 Martina Nazarea. Martina Nazarea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Nakamura, Motonobu, Shigeru Kondo, Manabu Sugai, et al.. (1996). High frequency class switching of an lgM+ B lymphoma clone CH12F3 to lgA+ cells. International Immunology. 8(2). 193–201. 173 indexed citations
2.
Hamada, Tsuneyoshi, Kei Tashiro, Hideaki Tada, et al.. (1996). Isolation and characterization of a novel secretory protein, stromal cell-derived factor-2 (SDF-2) using the signal sequence trap method. Gene. 176(1-2). 211–214. 51 indexed citations
3.
Tada, Hideaki, Kei Tashiro, Tomoyuki Nakamura, et al.. (1996). Characterization of Novel Secreted and Membrane Proteins Isolated by the Signal Sequence Trap Method. Genomics. 37(3). 273–280. 75 indexed citations
4.
Nakamura, Tomoyuki, Kei Tashiro, Martina Nazarea, et al.. (1995). The Murine Lymphotoxin-β Receptor cDNA: Isolation by the Signal Sequence Trap and Chromosomal Mapping. Genomics. 30(2). 312–319. 21 indexed citations
5.
Nazarea, Martina, et al.. (1993). A Monoclonal Antibody which Inhibits Growth of T Cell Lines. Growth Factors. 9(2). 139–147. 1 indexed citations
6.
Saito, Yuji, Hideaki Tada, Martina Nazarea, & Tasuku Honjo. (1992). Interleukin 2 and Tumor Necrosis Factor α are Complementary for Proliferation of the Hematopoietic Stem Cell Line LyD9. Growth Factors. 7(4). 297–303. 5 indexed citations
7.
Nazarea, Martina, et al.. (1991). P2-purinergic activation of phosphoinositide turnover is potentiated by A1-receptor stimulation in thyroid cells. European Journal of Pharmacology Molecular Pharmacology. 206(1). 47–52. 26 indexed citations
8.
Nazarea, Martina, Fumikazu Okajima, Kimie Sho, Kinji Inoue, & Yoichi Kondo. (1989). Extracellular Adenosine Triphosphate Completely Reverses the Thyrotropin-Induced Morphological Change in FRTL-5 Cells. Endocrinology. 125(1). 100–108. 5 indexed citations
9.
Okajima, Fumikazu, Kōichi Sato, Martina Nazarea, Kimie Sho, & Yoichi Kondo. (1989). A Permissive Role of Pertussis Toxin Substrate G-protein in P2-purinergic Stimulation of Phosphoinositide Turnover and Arachidonate Release in FRTL-5 Thyroid Cells. Journal of Biological Chemistry. 264(22). 13029–13037. 93 indexed citations

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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