Chenghua Xia

14 total papers · 2.5k total citations
11 papers, 1.9k citations indexed

About

Chenghua Xia is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Chenghua Xia has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Chenghua Xia's work include Renal and related cancers (3 papers), Renal cell carcinoma treatment (3 papers) and Cutaneous Melanoma Detection and Management (3 papers). Chenghua Xia is often cited by papers focused on Renal and related cancers (3 papers), Renal cell carcinoma treatment (3 papers) and Cutaneous Melanoma Detection and Management (3 papers). Chenghua Xia collaborates with scholars based in United States, Canada and United Kingdom. Chenghua Xia's co-authors include Walter M. Stadler, Keith T. Flaherty, Peter J. O’Dwyer, Ronit Simantov, Mark J. Ratain, Eric K. Rowinsky, Amita Patnaik, Tim Eisen, Apurva A. Desai and James L. Abbruzzese and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Clinical Cancer Research.

In The Last Decade

Chenghua Xia

11 papers receiving 1.9k citations

Hit Papers

Phase II Placebo-Controll... 2006 2026 2012 2019 2006 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Chenghua Xia 1.2k 950 844 469 156 11 1.9k
C. Martin Curtis 950 0.8× 865 0.9× 624 0.7× 281 0.6× 261 1.7× 18 1.6k
Barbara Mroczkowski 1.5k 1.2× 849 0.9× 661 0.8× 227 0.5× 228 1.5× 24 2.4k
Davide Zecchin 1.4k 1.1× 1.4k 1.4× 530 0.6× 550 1.2× 493 3.2× 13 2.4k
Vicki Goodman 1.1k 0.9× 1.2k 1.3× 580 0.7× 430 0.9× 195 1.3× 24 2.3k
Anirudh Prahallad 1.3k 1.0× 1.0k 1.1× 350 0.4× 451 1.0× 419 2.7× 17 2.0k
Tinya J. Abrams 932 0.8× 836 0.9× 825 1.0× 323 0.7× 135 0.9× 17 2.1k
Michael Millward 1.1k 0.9× 1.8k 1.8× 1.1k 1.4× 331 0.7× 142 0.9× 43 2.9k
Jane Kendrew 1.5k 1.3× 1.1k 1.2× 638 0.8× 561 1.2× 145 0.9× 33 2.7k
Stefan Engst 1.1k 0.9× 685 0.7× 527 0.6× 255 0.5× 301 1.9× 16 2.0k
Cammie Rinehart 1.7k 1.4× 1.7k 1.7× 568 0.7× 327 0.7× 145 0.9× 19 2.8k

Countries citing papers authored by Chenghua Xia

Since Specialization
Citations

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

Fields of papers citing papers by Chenghua Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenghua Xia

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