Zubao Gan

15 total papers · 692 total citations
9 papers, 566 citations indexed

About

Zubao Gan is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Zubao Gan has authored 9 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Immunology and 1 paper in Genetics. Recurrent topics in Zubao Gan's work include RNA Interference and Gene Delivery (9 papers), Immunotherapy and Immune Responses (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Zubao Gan is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Immunotherapy and Immune Responses (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Zubao Gan collaborates with scholars based in United States and China. Zubao Gan's co-authors include James E. Dahlman, Melissa P. Lokugamage, Cory D. Sago, Sujay Kalathoor, Kalina Paunovska, Fatima Z. Islam, Alejandro J. Da Silva Sanchez, Manaka Sato, Philip J. Santangelo and David Loughrey and has published in prestigious journals such as Advanced Materials, Science Advances and Nature Biomedical Engineering.

In The Last Decade

Zubao Gan

9 papers receiving 559 citations

Author Peers

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

Author						Papers	Cites
Zubao Gan	515	98	93	86	54	9	566
Sujay Kalathoor	484 0.9×	94 1.0×	77 0.8×	76 0.9×	52 1.0×	10	590
Manaka Sato	510 1.0×	85 0.9×	75 0.8×	68 0.8×	68 1.3×	7	577
Alejandro J. Da Silva Sanchez	439 0.9×	75 0.8×	67 0.7×	62 0.7×	53 1.0×	12	522
Dorottya Laczkó	397 0.8×	120 1.2×	80 0.9×	99 1.2×	36 0.7×	9	545
Abishek Wadhwa	381 0.7×	126 1.3×	73 0.8×	128 1.5×	36 0.7×	9	524
Rebecca L. McClellan	597 1.2×	88 0.9×	159 1.7×	78 0.9×	43 0.8×	8	647
Mariah L. Arral	419 0.8×	99 1.0×	72 0.8×	55 0.6×	57 1.1×	14	525
E. Sathyajith Kumarasinghe	545 1.1×	137 1.4×	90 1.0×	105 1.2×	37 0.7×	4	626
Marceline Huppmann	528 1.0×	112 1.1×	230 2.5×	59 0.7×	26 0.5×	5	666
Gang Long	399 0.8×	90 0.9×	53 0.6×	53 0.6×	35 0.6×	18	589

Countries citing papers authored by Zubao Gan

Since Specialization

Citations

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

Fields of papers citing papers by Zubao Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zubao Gan

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