Xupeng Ge

28 total papers · 1.2k total citations
21 papers, 922 citations indexed

About

Xupeng Ge is a scholar working on Surgery, Transplantation and Hepatology. According to data from OpenAlex, Xupeng Ge has authored 21 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 8 papers in Transplantation and 7 papers in Hepatology. Recurrent topics in Xupeng Ge's work include Organ Transplantation Techniques and Outcomes (13 papers), Renal Transplantation Outcomes and Treatments (8 papers) and Organ Donation and Transplantation (6 papers). Xupeng Ge is often cited by papers focused on Organ Transplantation Techniques and Outcomes (13 papers), Renal Transplantation Outcomes and Treatments (8 papers) and Organ Donation and Transplantation (6 papers). Xupeng Ge collaborates with scholars based in United States, Sweden and Germany. Xupeng Ge's co-authors include Stefan G. Tullius, Anke Jurisch, Jonathan Godwin, John Iacomini, Suchitra Sumitran–Holgersson, Bernhard Floerchinger, Bo‐Göran Ericzon, Xiaodong Yuan, Christian Denecke and Mehmet Uzunel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Blood.

In The Last Decade

Xupeng Ge

21 papers receiving 909 citations

Author Peers

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

Author						Papers	Cites
Xupeng Ge	398	275	257	220	209	21	922
Anke Jurisch	398 1.0×	330 1.2×	224 0.9×	263 1.2×	67 0.3×	31	961
Sippie Huitema	123 0.3×	314 1.1×	179 0.7×	49 0.2×	224 1.1×	24	976
Dorottya K. de Vries	435 1.1×	197 0.7×	46 0.2×	248 1.1×	76 0.4×	29	865
Rafia S. Al‐Lamki	201 0.5×	410 1.5×	127 0.5×	109 0.5×	41 0.2×	22	1.1k
Felix Geißler	481 1.2×	339 1.2×	129 0.5×	192 0.9×	134 0.6×	34	1.2k
Marilena Mister	294 0.7×	245 0.9×	55 0.2×	292 1.3×	49 0.2×	34	1.1k
Shinya Ueki	356 0.9×	244 0.9×	66 0.3×	71 0.3×	139 0.7×	30	833
Shunliang Yang	339 0.9×	380 1.4×	155 0.6×	135 0.6×	22 0.1×	33	1.2k
Miriam Boersema	218 0.5×	407 1.5×	75 0.3×	32 0.1×	236 1.1×	24	1.2k
Nozomi Koyamada	802 2.0×	183 0.7×	31 0.1×	185 0.8×	185 0.9×	35	1.1k

Countries citing papers authored by Xupeng Ge

Since Specialization

Citations

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

Fields of papers citing papers by Xupeng Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xupeng Ge

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