Jan C. Liang

2.1k citations
55 papers · 1.7k indexed · h-index 25
Topics
Carcinogens and Genotoxicity Assessment (10 papers)DNA Repair Mechanisms (9 papers)Microtubule and mitosis dynamics (8 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
Partner nations
United StatesChinaItaly

In The Last Decade

Jan C. Liang

54 papers receiving 1.7k citations

Peers

Jan C. Liang
Comparison fields: 5 of 98
  • Molecular Biology 680
  • Immunology 460
  • Cancer Research 395
  • Oncology 355
  • Hematology 334
Replace G Schwab with:
G Schwab United States
Anna Scuto United States
Pietro Taverna United States
Jayakumar R. Nair United States
Makiko Kawaguchi Japan
Antônio Palumbo Brazil
Kouhei Yamamoto Japan
Mati Shaklai Israel
Runqing Lu United States
W D Schleuning Switzerland
Jan C. Liang relative to G Schwab United States G Schwab's profile →
Citations per field
00.5×3.7×
G Schwab · 1×
Citations per year

Countries citing papers authored by Jan C. Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jan C. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan C. Liang. 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 Jan C. Liang. The network helps show where Jan C. Liang may publish in the future.

Co-authorship network of co-authors of Jan C. Liang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
MicroRNA-Based Biomarkers in the Diagnosis and Monitoring of Therapeutic Response in Patients with Depression
2
2 56
3 77
4 4
5 4
6 10
7 35
8 35
9 24
10 30
11 9
12 24
13 60
14 89
15 22
16
Recent advances in the diagnosis of acute leukemia
1
17 6
18 10
19 27
20 3

About Jan C. Liang

Jan C. Liang is a scholar working on Cancer Research, Hematology and Cell Biology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (10 papers), DNA Repair Mechanisms (9 papers) and Microtubule and mitosis dynamics (8 papers). The work is most often cited by research in Hematology (334 citations), Cancer Research (395 citations) and Immunology (460 citations). Jan C. Liang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include David F. Claxton, Richard E. Champlin, T. C. Hsü, Lalitha Nagarajan, K. L. Satya‐Prakash, B. R. Brinkley, Aniruddha Choudhury, James Gajewski, Uday Popat and K. O. Kliche. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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