Pinhua Pan

10 total papers · 411 total citations
9 papers, 319 citations indexed

About

Pinhua Pan is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pinhua Pan has authored 9 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pinhua Pan's work include Immune Response and Inflammation (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and NF-κB Signaling Pathways (2 papers). Pinhua Pan is often cited by papers focused on Immune Response and Inflammation (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and NF-κB Signaling Pathways (2 papers). Pinhua Pan collaborates with scholars based in China and United States. Pinhua Pan's co-authors include Lemeng Zhang, Haitao Li, Xiaoli Su, Haosi Li, Minhui Dai, Dongdong Wu, Shuai Liu, Yi Li, Chengping Hu and Allan Tsung and has published in prestigious journals such as Scientific Reports, CHEST Journal and BioMed Research International.

In The Last Decade

Pinhua Pan

9 papers receiving 319 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pinhua Pan	218	112	80	37	34	9	319
Haosi Li	231 1.1×	155 1.4×	100 1.3×	40 1.1×	38 1.1×	6	362
Iwao Komuro	178 0.8×	82 0.7×	52 0.7×	45 1.2×	46 1.4×	10	328
Paulo V. Soeiro-Pereira	166 0.8×	81 0.7×	47 0.6×	42 1.1×	33 1.0×	13	278
Katharine M. Lodge	150 0.7×	102 0.9×	80 1.0×	29 0.8×	22 0.6×	14	314
Evelien G. G. Sprenkeler	169 0.8×	121 1.1×	35 0.4×	73 2.0×	41 1.2×	12	291
Kalamo Farley	190 0.9×	108 1.0×	90 1.1×	66 1.8×	20 0.6×	9	347
Rico Lepzien	157 0.7×	82 0.7×	125 1.6×	45 1.2×	40 1.2×	11	310
Kristie L. Hilliard	153 0.7×	87 0.8×	70 0.9×	77 2.1×	51 1.5×	9	331
Riem Gawish	156 0.7×	81 0.7×	42 0.5×	48 1.3×	17 0.5×	11	300
Awo D. Osafo-Addo	100 0.5×	99 0.9×	43 0.5×	65 1.8×	26 0.8×	6	273

Countries citing papers authored by Pinhua Pan

Since Specialization

Citations

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

Fields of papers citing papers by Pinhua Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinhua Pan

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

All Works

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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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