Shengfang Jin

9.6k citations
21 papers · 5.8k indexed · 2 hit papers · h-index 16
Topics
Cancer, Hypoxia, and Metabolism (7 papers)Glioma Diagnosis and Treatment (5 papers)DNA Repair Mechanisms (3 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Shengfang Jin

18 papers receiving 5.7k citations

Hit Papers

Cancer-associated IDH1 mutations produce 2-hydroxyglutarate20092026201420202009201010002.0k3.0k

Peers

Shengfang Jin
Comparison fields: 5 of 107
  • Molecular Biology 3.9k
  • Cancer Research 2.5k
  • Genetics 1.7k
  • Hematology 785
  • Oncology 766
Replace Stefan Größ with:
Stefan Größ United States
Mark Bittinger United States
Katharine Yen United States
Shinsan M. Su United States
Kevin M. Marks United States
Marie C. Keenan United States
Lenny Dang United States
Valeria R. Fantin United States
Patrick S. Ward United States
Genglin Jin United States
Shengfang Jin relative to Stefan Größ United States Stefan Größ's profile →
Citations per field
00.5×1.5×
Stefan Größ · 1×
Citations per year

Countries citing papers authored by Shengfang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shengfang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengfang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shengfang Jin. A scholar is included among the top collaborators of Shengfang Jin 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 Shengfang Jin. Shengfang Jin 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 0
2 0
3 0
4 13
5 53
6 33
7 43
8 160
9
Cancer-associated metabolite 2-hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutationsbreakdown →
558
10 275
11 4
12
Cancer-associated IDH1 mutations produce 2-hydroxyglutaratebreakdown →
3067
13 55
14 38
15 188
16 33
17 208
18 81
19 343
20 241

About Shengfang Jin

Shengfang Jin is a scholar working on Genetics, Cancer Research and Hematology, having authored 21 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Glioma Diagnosis and Treatment (5 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Cancer Research (2.5k citations), Genetics (1.7k citations) and Hematology (785 citations). Shengfang Jin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Shinsan M. Su, Lenny Dang, Valeria R. Fantin, Stefan Größ, Edward M. Driggers, Hyun Gyung Jang, Mark Bittinger, David T. Weaver, Katharine Yen and Marie C. Keenan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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