Pan Su

765 total citations · 1 hit paper
7 papers, 574 citations indexed

About

Pan Su is a scholar working on Immunology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Pan Su has authored 7 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Clinical Biochemistry. Recurrent topics in Pan Su's work include T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (3 papers). Pan Su is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (3 papers). Pan Su collaborates with scholars based in China, United States and Switzerland. Pan Su's co-authors include Lintao Liu, Jianfei Qian, Maojie Yang, Enguang Bi, Xingzhe Ma, Qing Yi, Qiang Wang, Bing Sun, Fang Yu and Jinfang Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Pan Su

7 papers receiving 573 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Enhanced Lipid Accumulation and Metabolism Are Required for the Differentiation and Activation of Tumor-Associated Macrophages

2020 360 citations Pan Su, Qiang Wang et al. Cancer Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pan Su China	6	323	229	228	94	56	7	574
Huan Ning United States	11	263 0.8×	94 0.4×	204 0.9×	126 1.3×	38 0.7×	14	512
Emily Omori United States	13	366 1.1×	327 1.4×	419 1.8×	81 0.9×	55 1.0×	14	737
Youn-Tae Kwak United States	6	315 1.0×	311 1.4×	416 1.8×	125 1.3×	41 0.7×	6	656
Andrea Denk Germany	6	237 0.7×	182 0.8×	227 1.0×	68 0.7×	35 0.6×	7	480
Marc Riemann Germany	14	381 1.2×	168 0.7×	160 0.7×	120 1.3×	54 1.0×	22	623
Nidhi Kedia-Mehta Ireland	8	484 1.5×	172 0.8×	183 0.8×	126 1.3×	79 1.4×	10	708
Dapeng Ma China	14	193 0.6×	68 0.3×	291 1.3×	85 0.9×	86 1.5×	22	473
Marc Schuster Germany	14	316 1.0×	125 0.5×	217 1.0×	76 0.8×	141 2.5×	21	594
Candace Lynch United States	5	341 1.1×	245 1.1×	275 1.2×	79 0.8×	47 0.8×	6	522
Prudence N’guessan France	9	169 0.5×	81 0.4×	188 0.8×	105 1.1×	74 1.3×	10	432

Countries citing papers authored by Pan Su

Since Specialization

Citations

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

Fields of papers citing papers by Pan Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Su

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Su, Pan, Qiang Wang, Enguang Bi, et al.. (2020). Enhanced Lipid Accumulation and Metabolism Are Required for the Differentiation and Activation of Tumor-Associated Macrophages. Cancer Research. 80(7). 1438–1450. 360 indexed citations breakdown →

2.

Qian, Jianfei, Qiang Wang, Lintao Liu, et al.. (2019). Development of an Immunotherapeutic Monoclonal Antibody Recognizing DKK1-HLA-A2 Complex to Treat Human Hematologic Malignancies. Blood. 134(Supplement_1). 5551–5551. 1 indexed citations

3.

He, Lan, Wangpeng Gu, Meng Wang, et al.. (2018). Extracellular matrix protein 1 promotes follicular helper T cell differentiation and antibody production. Proceedings of the National Academy of Sciences. 115(34). 8621–8626. 35 indexed citations

4.

Bi, Enguang, Rong Li, Laura Bover, et al.. (2018). E-cadherin expression on multiple myeloma cells activates tumor-promoting properties in plasmacytoid DCs. Journal of Clinical Investigation. 128(11). 4821–4831. 31 indexed citations

5.

Yu, Fang, Suveena Sharma, Dragana Janković, et al.. (2018). The transcription factor Bhlhe40 is a switch of inflammatory versus antiinflammatory Th1 cell fate determination. The Journal of Experimental Medicine. 215(7). 1813–1821. 92 indexed citations

6.

Su, Pan, et al.. (2017). T-2 toxin induces apoptosis via the Bax-dependent caspase-3 activation in mouse primary Leydig cells. Toxicology Mechanisms and Methods. 28(1). 23–28. 33 indexed citations

7.

Su, Pan, Sheng Chen, Haiyan Zhou, et al.. (2016). Novel Function of Extracellular Matrix Protein 1 in Suppressing Th17 Cell Development in Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 197(4). 1054–1064. 22 indexed citations

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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