Nitish Narula
Impact in
- Paleontology top 2%
- Evolution and Paleontology Studies
- Paleontology and Evolutionary Biology
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- Hymenoptera taxonomy and phylogeny
- Plant Diversity and Evolution
Papers in
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- Evolution and Paleontology Studies 4
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- Hymenoptera taxonomy and phylogeny 4
- Co-authors
- Evan P. Economo (7 shared papers)Benoît Guénard (4 shared papers)Michael D. Weiser (2 shared papers)Julia Janicki (2 shared papers)Kiko Gómez (1 shared paper)Nicholas R. Friedman (2 shared papers)John T. Longino (2 shared papers)Milan Janda (2 shared papers)
- Journals
- Science (2 papers)Nature Communications (1 paper)Ecological Informatics (1 paper)Current Biology (1 paper)GigaScience (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Nitish Narula
10 papers receiving 2.3k citations
Nitish Narula's Hit Papers
Peers
Comparison fields: 5 of 97
- Paleontology 503
- Ecology, Evolution, Behavior and Systematics 559
- Genetics 763
- Developmental Biology 45
- Ecological Modeling 44
Countries citing papers authored by Nitish Narula
This map shows the geographic impact of Nitish Narula'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 Nitish Narula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitish Narula more than expected).
Fields of papers citing papers by Nitish Narula
This network shows the impact of papers produced by Nitish Narula. 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 Nitish Narula. The network helps show where Nitish Narula may publish in the future.
Co-authors
The 25 scholars most cited alongside Nitish Narula, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Whole-genome analyses resolve early branches in the tree of life of modern birds Hit paper breakdown → | 2014 | 1482 |
| 2 | Visualizing and interacting with large-volume biodiversity data using client–server web-mapping applications: The design and implementation of antmaps.org Hit paper breakdown → | 2016 | 250 |
| 3 | 2017 | 183 | |
| 4 | 2018 | 170 | |
| 5 | 2015 | 79 | |
| 6 | 2021 | 44 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 32 | |
| 9 | 2020 | 15 | |
| 10 | 2025 | 1 |
About Nitish Narula
Nitish Narula is a scholar working on Paleontology, Ecology, Evolution, Behavior and Systematics, Genetics, Geography, Planning and Development and Geometry and Topology, having authored 10 papers that have together received 2.3k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (6 papers), Evolution and Paleontology Studies (4 papers), Hymenoptera taxonomy and phylogeny (4 papers), Genomics and Phylogenetic Studies (3 papers), Morphological variations and asymmetry (1 paper), Geographic Information Systems Studies (1 paper), Genetic diversity and population structure (1 paper) and Ecology and Vegetation Dynamics Studies (1 paper). The work is most often cited by research in Paleontology (503 citations), Ecology, Evolution, Behavior and Systematics (559 citations), Genetics (763 citations), Developmental Biology (45 citations) and Ecological Modeling (44 citations). Nitish Narula has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Evan P. Economo, Benoît Guénard, Michael D. Weiser, Julia Janicki, Kiko Gómez, Nicholas R. Friedman, John T. Longino, Milan Janda, Siavash Mirarab and Peter Houde. Their work appears in journals such as Science, Nature Communications, Ecological Informatics, Current Biology and GigaScience.
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.