Xiaohui Jia

1.7k citations
53 papers · 1.3k · h-index 18

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research

Papers in

Xiaohui Jia

51 papers receiving 1.3k citations

Peers

Xiaohui Jia
Comparison fields: 5 of 112
  • Oncology 425
  • Cancer Research 133
  • Biomaterials 108
  • Pharmacology 71
  • Molecular Biology 413
Replace Peng Gong with:
Peng Gong China
Hossein Javid Iran
Wei Xia China
Lan Yang China
Ming Ji China
Karol Bukowski Poland
Kang Fang China
Christiana M. Neophytou Cyprus
Rosario Vincenzo Iaffaioli Italy
Sensen Lin China
Xiaohui Jia relative to Peng Gong China Peng Gong's profile →
Citations per field
00.5×2.8×
Peng Gong · 1×
Citations per year

Countries citing papers authored by Xiaohui Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohui Jia, 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 Xiaohui Jia Line = papers co-authored together Xiaohui Jia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013299
2 2019156
3 2013106
4 202082
5 202070
6 202052
7 201345
8 202237
9 201833
10 201928
11 201923
12 202222
13 201921
14 202220
15 202119
16 202018
17 202017
18 201617
19 201916
20 202415

About Xiaohui Jia

Xiaohui Jia is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Surgery, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Treatments and Mutations (10 papers), Natural product bioactivities and synthesis (5 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Lung Cancer Research Studies (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Oncology (425 citations), Cancer Research (133 citations), Biomaterials (108 citations), Pharmacology (71 citations) and Molecular Biology (413 citations). Xiaohui Jia has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Michael‐Robin Witt, Caroline S. Verbeke, Rune Toftgård, Rainer Heuchel, Stefan Rehnmark, Matthias Löhr, Johannes Eimer, Paola Longati, Haimin Lei and Yuqin Yang. Their work appears in journals such as European Journal of Medicinal Chemistry, Frontiers in Immunology, Molecules, Lung Cancer and Cell Transplantation.

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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