Zhili Song

734 citations
17 papers · 260 indexed · h-index 9
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments 4
    • Platelet Disorders and Treatments 3
    • Blood Coagulation and Thrombosis Mechanisms 2
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism 5
    • Peptidase Inhibition and Analysis 2
    • Chronic Lymphocytic Leukemia Research 3
    • Immune Cell Function and Interaction 3
    • Monoclonal and Polyclonal Antibodies Research 7

Zhili Song

17 papers receiving 254 citations

Peers

Zhili Song
Comparison fields: 5 of 57
  • Hematology 99
  • Physiology 33
  • Oncology 88
  • Genetics 30
  • Immunology 59
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V Notario United States
Luis‐Alberto Pérez‐Quintero Canada
Meaghen E. Sharik United States
Michael R. Charley United States
L J Jarvis United States
Stephen Proctor United Kingdom
Robert Oldham United Kingdom
Steve Licence United Kingdom
Nina K. Serwas Austria
Antonella Padella Italy
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Citations per field
00.5×10×16.5×
V Notario · 1×
Citations per year

Countries citing papers authored by Zhili Song

Since Specialization
Citations

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

Fields of papers citing papers by Zhili Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 202210
2 202111
3 20211
4 20219
5 20211
6 202085
7 20192
8 20171
9 20142
10 201414
11 20141
12 201169
13 20113
14 19991
15 199912
16 199824
17 199314

About Zhili Song

Zhili Song is a scholar working on Physiology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 260 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Calcium signaling and nucleotide metabolism (5 papers), Multiple Myeloma Research and Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Platelet Disorders and Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Peptidase Inhibition and Analysis (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Hematology (99 citations), Physiology (33 citations) and Oncology (88 citations). Zhili Song has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Jason D. Hughes, Steven A. Haney, Romesh R. Subramanian, Juan Zhao, Albert Seymour, Michael Schäffer, Daniel R. Caffrey, Francisco Adrián, Chen Zhu and Guang Yang. Their work appears in journals such as Blood, PLoS ONE 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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