Nie-Lin Ge

12 total papers · 715 total citations
11 papers, 615 citations indexed

About

Nie-Lin Ge is a scholar working on Molecular Biology, Parasitology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Nie-Lin Ge has authored 11 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Parasitology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Nie-Lin Ge's work include Vector-borne infectious diseases (4 papers), Cancer-related Molecular Pathways (3 papers) and Retinoids in leukemia and cellular processes (3 papers). Nie-Lin Ge is often cited by papers focused on Vector-borne infectious diseases (4 papers), Cancer-related Molecular Pathways (3 papers) and Retinoids in leukemia and cellular processes (3 papers). Nie-Lin Ge collaborates with scholars based in United States. Nie-Lin Ge's co-authors include Cornelis J. Elferink, Stuart Rudikoff, Katherine M. Kocan, George L. Murphy, Edmour F. Blouin, S. A. Ewing, L.J. Dawson and Wanda Edwards and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Oncogene.

In The Last Decade

Nie-Lin Ge

11 papers receiving 586 citations

Author Peers

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

Author Last Decade Papers Cites
Nie-Lin Ge 260 194 163 137 127 11 615
Prapaporn Kopsombut 178 0.7× 153 0.8× 76 0.5× 97 0.7× 53 0.4× 18 619
M. M. Lipsky 177 0.7× 104 0.5× 101 0.6× 6 0.0× 85 0.7× 17 593
Qianhui Dou 277 1.1× 17 0.1× 80 0.5× 13 0.1× 93 0.7× 11 515
Kaori Ishihara 200 0.8× 211 1.1× 67 0.4× 177 1.3× 62 0.5× 10 598
Konstantinos Gkouvatsos 131 0.5× 22 0.1× 51 0.3× 345 2.5× 40 0.3× 13 693
Prim de Bie 311 1.2× 132 0.7× 33 0.2× 85 0.6× 136 1.1× 15 609
Therese A. Dietlin 201 0.8× 61 0.3× 22 0.1× 33 0.2× 65 0.5× 16 660
Carole Bradt 314 1.2× 85 0.4× 225 1.4× 17 0.1× 60 0.5× 20 610
Ching‐Yi Chang 216 0.8× 119 0.6× 104 0.6× 123 0.9× 41 0.3× 10 525
Flavia Novelli 390 1.5× 29 0.1× 101 0.6× 11 0.1× 104 0.8× 9 684

Countries citing papers authored by Nie-Lin Ge

Since Specialization
Citations

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

Fields of papers citing papers by Nie-Lin Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nie-Lin Ge. 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 Nie-Lin Ge. The network helps show where Nie-Lin Ge may publish in the future.

Co-authorship network of co-authors of Nie-Lin Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Nie-Lin Ge. A scholar is included among the top collaborators of Nie-Lin Ge 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 Nie-Lin Ge. Nie-Lin Ge 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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