Tulip Nandu
About
In The Last Decade
Tulip Nandu
20 papers receiving 590 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tulip Nandu United States | 10 | 331 | 281 | 112 | 90 | 82 | 21 | 590 | ||
| Lola E. Navas Spain | 5 | 203 0.6× | 121 0.4× | 46 0.4× | 97 1.1× | 49 0.6× | 8 | 407 | ||
| Mu‐Jie Lu United States | 8 | 217 0.7× | 69 0.2× | 74 0.7× | 62 0.7× | 59 0.7× | 10 | 420 | ||
| Can Tan United States | 9 | 492 1.5× | 102 0.4× | 65 0.6× | 61 0.7× | 122 1.5× | 22 | 715 | ||
| Yuzhe Shi United States | 8 | 242 0.7× | 117 0.4× | 57 0.5× | 7 0.1× | 64 0.8× | 9 | 375 | ||
| Danilo Faccenda United Kingdom | 12 | 568 1.7× | 39 0.1× | 32 0.3× | 21 0.2× | 220 2.7× | 20 | 731 | ||
| Amanda Mawson Australia | 12 | 307 0.9× | 183 0.7× | 36 0.3× | 59 0.7× | 69 0.8× | 15 | 516 | ||
| Kristin Tracy United States | 7 | 455 1.4× | 101 0.4× | 43 0.4× | 37 0.4× | 415 5.1× | 7 | 717 | ||
| Rachel S. Salamon United States | 9 | 317 1.0× | 69 0.2× | 66 0.6× | 30 0.3× | 38 0.5× | 10 | 436 | ||
| Rie Kinoshita Japan | 13 | 311 0.9× | 71 0.3× | 143 1.3× | 25 0.3× | 38 0.5× | 37 | 506 | ||
| Marta Brewińska‐Olchowik Poland | 12 | 244 0.7× | 60 0.2× | 80 0.7× | 15 0.2× | 28 0.3× | 14 | 468 |
Countries citing papers authored by Tulip Nandu
This map shows the geographic impact of Tulip Nandu'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 Tulip Nandu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tulip Nandu more than expected).
Fields of papers citing papers by Tulip Nandu
This network shows the impact of papers produced by Tulip Nandu. 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 Tulip Nandu. The network helps show where Tulip Nandu may publish in the future.
Co-authorship network of co-authors of Tulip Nandu
This figure shows the co-authorship network connecting the top 25 collaborators of Tulip Nandu. A scholar is included among the top collaborators of Tulip Nandu 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 Tulip Nandu. Tulip Nandu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.