Peng Luan

2.3k citations
30 papers · 1.8k indexed · 1 hit paper · h-index 21
Topics
Cellular transport and secretion (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)Iron Metabolism and Disorders (4 papers)

In The Last Decade

Peng Luan

30 papers receiving 1.8k citations

Hit Papers

A specific antidote for reversal of anticoagulation by di...20132026201720212013100200300400500

Peers

Peng Luan
Comparison fields: 5 of 109
  • Molecular Biology 718
  • Cardiology and Cardiovascular Medicine 487
  • Internal Medicine 370
  • Cell Biology 297
  • Hematology 282
Replace Dennis B. Rylatt with:
Dennis B. Rylatt Australia
Yuichi Takakuwa Japan
Rodger A. Allen United States
G. D. Hunter United States
Marek Duszyk Canada
Hiroshi Masumoto Japan
M. Kyle Hadden United States
George B. Segel United States
Mary T. Walsh United States
Cristian Ruse United States
Peng Luan relative to Dennis B. Rylatt Australia Dennis B. Rylatt's profile →
Citations per field
00.5×7.6×
Dennis B. Rylatt · 1×
Citations per year

Countries citing papers authored by Peng Luan

Since Specialization
Citations

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

Fields of papers citing papers by Peng Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Luan. A scholar is included among the top collaborators of Peng Luan 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 Peng Luan. Peng Luan 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 40
2 96
3 18
4 14
5
A specific antidote for reversal of anticoagulation by direct and indirect inhibitors of coagulation factor Xabreakdown →
533
6 22
7 1
8
Abstract 12420: Reversal of Low Molecular Weight Heparin and Fondaparinux by a Recombinant Antidote (r-Antidote, PRT064445)
8
9 62
10 66
11 119
12 31
13 9
14 47
15 164
16 39
17 29
18 56
19 24
20 20

About Peng Luan

Peng Luan is a scholar working on Hematology, Internal Medicine and Physiology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Iron Metabolism and Disorders (4 papers). The work is most often cited by research in Internal Medicine (370 citations), Hematology (282 citations) and Cardiology and Cardiovascular Medicine (487 citations). Peng Luan has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include M. Gläser, Stanley J. Hollenbach, Uma Sinha, Keith Abe, Pamela B. Conley, Genmin Lu, David R. Phillips, Francis DeGuzman, Athiwat Hutchaleelaha and Mayuko Inagaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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