Xiting Cao

1.0k citations
45 papers · 683 · h-index 14

Impact in

Papers in

Xiting Cao

41 papers receiving 668 citations

Peers

Xiting Cao
Comparison fields: 5 of 78
  • Oncology 255
  • Family Practice 17
  • Pulmonary and Respiratory Medicine 248
  • Reproductive Medicine 62
  • Cancer Research 110
Replace Danielle Desautels with:
Danielle Desautels Canada
Tunghi May Pini United States
Àngels Arcusa Spain
H. B. Muss United States
Yasin Folkvaljon Sweden
Jennifer Obel United States
Élise Deluche France
Evelin Deeg Germany
Diana T. Chingos United States
Burkhard Otremba Germany
Xiting Cao relative to Danielle Desautels Canada Danielle Desautels's profile →
Citations per field
00.5×1.5×1.8×
Danielle Desautels · 1×
Citations per year

Countries citing papers authored by Xiting Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xiting Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiting Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiting Cao Line = papers co-authored together Xiting Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 201779
3 201855
4 201852
5 202144
6 201538
7 201836
8 202235
9 201822
10 201821
11 201716
12 201616
13 201814
14 201914
15 202113
16 20169
17 20229
18 20219
19 20118
20 20197

About Xiting Cao

Xiting Cao is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hematology, Genetics and Molecular Biology, having authored 45 papers that have together received 683 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Acute Myeloid Leukemia Research (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Oncology (255 citations), Family Practice (17 citations), Pulmonary and Respiratory Medicine (248 citations), Reproductive Medicine (62 citations) and Cancer Research (110 citations). Xiting Cao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Thomas Burke, Ashwini Arunachalam, David P. Carbone, Amy P. Abernethy, Caroline McKay, Frank Xiaoqing Liu, N. W. Peacock, James Gilmore, Anna Gu and Melissa Rammage. Their work appears in journals such as Journal of Clinical Oncology, Blood, PLoS ONE, Clinical Genitourinary Cancer and Clinical Lung Cancer.

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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