Mingli Wan

687 citations
55 papers · 574 indexed · h-index 14

Impact in

Papers in

Mingli Wan

53 papers receiving 570 citations

Peers

Mingli Wan
Comparison fields: 5 of 37
  • Paleontology 352
  • Ecology, Evolution, Behavior and Systematics 416
  • Geochemistry and Petrology 42
  • Geology 33
  • Earth-Surface Processes 40
Replace Mária Barbacka with:
Mária Barbacka Hungary
Mihai Emilian Popa Romania
Lujun Liu China
Linda VanAller Hernick United States
Cyrille Prestianni Belgium
Denise Pons France
Deepa Agnihotri India
Anne-Marie P. Tosolini Australia
Baoxia Du China
Jorge Dinis Portugal
Mingli Wan relative to Mária Barbacka Hungary Mária Barbacka's profile →
Citations per field
00.5×2.5×
Mária Barbacka · 1×
Citations per year

Countries citing papers authored by Mingli Wan

Since Specialization
Citations

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

Fields of papers citing papers by Mingli Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingli Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingli Wan Line = papers co-authored together Mingli Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201439
2 201534
3 201633
4 201631
5 202029
6 201726
7 201623
8 202123
9 201522
10 201719
11 202018
12 201916
13 201716
14 201916
15 202012
16 202112
17 201912
18 202012
19 202011
20 201511

About Mingli Wan

Mingli Wan is a scholar working on Ecology, Evolution, Behavior and Systematics, Paleontology, Molecular Biology, Atmospheric Science and Mechanics of Materials, having authored 55 papers that have together received 574 indexed citations. Recurring topics across this work include Plant Diversity and Evolution (46 papers), Paleontology and Stratigraphy of Fossils (31 papers), Plant and Fungal Species Descriptions (28 papers), Fern and Epiphyte Biology (13 papers), Geology and Paleoclimatology Research (8 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Geological and Geophysical Studies (4 papers) and Geological and Geochemical Analysis (3 papers). The work is most often cited by research in Paleontology (352 citations), Ecology, Evolution, Behavior and Systematics (416 citations), Geochemistry and Petrology (42 citations), Geology (33 citations) and Earth-Surface Processes (40 citations). Mingli Wan has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jun Wang, Wan Yang, Lujun Liu, Weiming Zhou, Jun Wang, Peng Tang, Josef Pšenička, Stanislav Opluštil, Christopher J. Cleal and Xudong Hou. Their work appears in journals such as Review of Palaeobotany and Palynology, Palaeoworld, Palaeogeography Palaeoclimatology Palaeoecology, Geobios and Geological Journal.

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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