Xīn Gào

300 total papers · 8.1k total citations
186 papers, 4.0k citations indexed

About

Xīn Gào is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xīn Gào has authored 186 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 41 papers in Oncology and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xīn Gào's work include Cancer Immunotherapy and Biomarkers (18 papers), Renal cell carcinoma treatment (17 papers) and Epigenetics and DNA Methylation (11 papers). Xīn Gào is often cited by papers focused on Cancer Immunotherapy and Biomarkers (18 papers), Renal cell carcinoma treatment (17 papers) and Epigenetics and DNA Methylation (11 papers). Xīn Gào collaborates with scholars based in United States, China and Germany. Xīn Gào's co-authors include Ben Schöttker, Eugen Brailoiu, G. Cristina Brailoiu, Hermann Brenner, Nae J. Dun, David F. McDermott, Yin Wan, Xuan Yang, Sandip Patel and Marc Botteman and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Xīn Gào

161 papers receiving 3.9k citations

Hit Papers

Phase 1/2 study of ARV-11... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Xīn Gào 1.2k 901 559 466 428 186 4.0k
Ping Fan 1.9k 1.5× 1.1k 1.2× 433 0.8× 420 0.9× 452 1.1× 218 4.4k
Masataka Majima 2.0k 1.6× 1.0k 1.1× 454 0.8× 922 2.0× 728 1.7× 259 6.8k
Gelsomina Mansueto 1.6k 1.3× 727 0.8× 234 0.4× 471 1.0× 268 0.6× 99 4.3k
Keiichi Tasaka 2.0k 1.6× 585 0.6× 282 0.5× 230 0.5× 496 1.2× 129 4.4k
Ying Xin 2.9k 2.4× 684 0.8× 588 1.1× 528 1.1× 378 0.9× 235 5.6k
Germano Guerra 1.4k 1.1× 510 0.6× 636 1.1× 971 2.1× 175 0.4× 180 4.9k
Saburo Onishi 1.9k 1.6× 779 0.9× 464 0.8× 1.1k 2.3× 595 1.4× 196 5.1k
Ludwig Neyses 3.4k 2.8× 313 0.3× 514 0.9× 809 1.7× 811 1.9× 190 6.8k
Hirohisa Kurachi 2.4k 1.9× 877 1.0× 331 0.6× 390 0.8× 493 1.2× 161 5.8k
Keizo Kanasaki 2.4k 2.0× 791 0.9× 450 0.8× 836 1.8× 1.3k 3.0× 141 6.5k

Countries citing papers authored by Xīn Gào

Since Specialization
Citations

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

Fields of papers citing papers by Xīn Gào

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xīn Gào

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