Hongling Pan

2.9k citations
16 papers · 1.7k indexed · 1 hit paper · h-index 10
Topics
Cellular transport and secretion (3 papers)Genomics and Chromatin Dynamics (2 papers)Lipid Membrane Structure and Behavior (2 papers)

In The Last Decade

Hongling Pan

14 papers receiving 1.7k citations

Hit Papers

MiMIC: a highly versatile transposon insertion resource f...20112026201620212011100200300400

Peers

Hongling Pan
Comparison fields: 5 of 94
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 601
  • Cell Biology 507
  • Immunology 200
  • Genetics 197
Replace Susan Younger with:
Susan Younger United States
Amy E. Sheehan United States
Heather T. Broihier United States
Nuria Paricio Spain
Kendal Broadie United States
Marko Brankatschk Germany
Magalie Lecourtois France
Konrad E. Zinsmaier United States
Galit Shohat-Ophir Israel
Michael J. Palladino United States
Hongling Pan relative to Susan Younger United States Susan Younger's profile →
Citations per field
00.5×1.5×
Susan Younger · 1×
Citations per year

Countries citing papers authored by Hongling Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hongling Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongling Pan

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 6
3 8
4 0
5 1
6 103
7 63
8
MiMIC: a highly versatile transposon insertion resource for engineering Drosophila melanogaster genesbreakdown →
472
9 288
10 94
11 227
12 103
13 116
14 86
15 108
16
Literature survey on general and comparative enzyme biochemistry of birds
2

About Hongling Pan

Hongling Pan is a scholar working on Business and International Management, Developmental Neuroscience and Cell Biology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Genomics and Chromatin Dynamics (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Aging (101 citations), Cellular and Molecular Neuroscience (601 citations) and Cell Biology (507 citations). Hongling Pan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hugo J. Bellen, Koen J. T. Venken, Karen L. Schulze, Yuchun He, Roger A. Hoskins, Joseph W. Carlson, Allan C. Spradling, Hamed Jafar‐Nejad, Nele A Haelterman and Robert Levis. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

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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