John Jiang

2.0k citations
17 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Cancer Genomics and Diagnostics (7 papers)Advanced Breast Cancer Therapies (4 papers)Renal cell carcinoma treatment (3 papers)

In The Last Decade

John Jiang

17 papers receiving 1.2k citations

Hit Papers

Plasma ESR1 Mutations and the Treatment of Estrogen Recep...20162026201920222016100200300400500

Peers

John Jiang
Comparison fields: 5 of 65
  • Oncology 725
  • Cancer Research 614
  • Pulmonary and Respiratory Medicine 505
  • Molecular Biology 458
  • Pathology and Forensic Medicine 262
Replace Yasuto Naoi with:
Yasuto Naoi Japan
Hyunjae R. Kim United States
Marcin Krzystanek Denmark
Ana De Jesus‐Acosta United States
Francesco Pepe Italy
Marie‐Paule Sablin France
Aleksandra Markovets United States
Anna Cardillo Italy
Dara S. Ross United States
Esko A. Kautto United States
John Jiang relative to Yasuto Naoi Japan Yasuto Naoi's profile →
Citations per field
00.5×1.7×
Yasuto Naoi · 1×
Citations per year

Countries citing papers authored by John Jiang

Since Specialization
Citations

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

Fields of papers citing papers by John Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of John Jiang. A scholar is included among the top collaborators of John Jiang 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 John Jiang. John Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 11
2 11
3 36
4 71
5 1
6
Plasma ESR1 Mutations and the Treatment of Estrogen Receptor–Positive Advanced Breast Cancerbreakdown →
507
7 1
8 12
9 28
10 31
11 1
12 41
13 19
14 70
15 6
16 356
17 44

About John Jiang

John Jiang is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Advanced Breast Cancer Therapies (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Cancer Research (614 citations), Oncology (725 citations) and Pulmonary and Respiratory Medicine (505 citations). John Jiang has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Yixin Wang, Yi Zhang, Matthew G. Mutch, David Atkins, Howard L. McLeod, Dmitri Talantov, Tim Jatkoe, Ben O’Leary, Matthew Beaney and Sibylle Loibl. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

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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