Mingli Wan

722 citations
56 papers · 601 · h-index 15

Impact in

Papers in

Mingli Wan

53 papers receiving 596 citations

Peers

Mingli Wan
Comparison fields: 5 of 38
  • Paleontology 361
  • Ecology, Evolution, Behavior and Systematics 429
  • Geochemistry and Petrology 42
  • Earth-Surface Processes 41
  • Geology 33
Replace Mária Barbacka with:
Mária Barbacka Hungary
Lujun Liu China
Mihai Emilian Popa Romania
Linda VanAller Hernick United States
Cyrille Prestianni Belgium
Deepa Agnihotri India
Jinzhuang Xue China
Denise Pons France
Uxue Villanueva‐Amadoz Spain
Deming Wang China
Mingli Wan relative to Mária Barbacka Hungary Mária Barbacka's profile →
Citations per field
00.5×1.5×2.4×
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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201439
2 201634
3 201534
4 202033
5 201632
6 201726
7 201626
8 202125
9 201522
10 202020
11 201719
12 201916
13 201916
14 201716
15 202114
16 202012
17 202012
18 201912
19 202011
20 202011

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 56 papers that have together received 601 indexed citations. Recurring topics across this work include Plant Diversity and Evolution (47 papers), Paleontology and Stratigraphy of Fossils (32 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 Ecology and Vegetation Dynamics Studies (3 papers). The work is most often cited by research in Paleontology (361 citations), Ecology, Evolution, Behavior and Systematics (429 citations), Geochemistry and Petrology (42 citations), Earth-Surface Processes (41 citations) and Geology (33 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, Josef Pšenička, Peng Tang, Stanislav Opluštil, Christopher J. Cleal and Xudong Hou. Their work appears in journals such as Review of Palaeobotany and Palynology, Palaeoworld, Palaeogeography Palaeoclimatology Palaeoecology, Geological Journal and Geobios.

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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