Ann MacLarnon

5.0k citations
65 papers · 2.8k · h-index 31

Impact in

Papers in

Ann MacLarnon

63 papers receiving 2.7k citations

Peers

Ann MacLarnon
Comparison fields: 5 of 131
  • Developmental Biology 549
  • Social Psychology 1.5k
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Paleontology 311
  • Small Animals 311
Replace Gottfried Hohmann with:
Gottfried Hohmann Germany
Tara S. Stoinski United States
Lori Marino United States
Martin N. Muller United States
Eduardo Β. Ottoni Brazil
Patrícia Izar Brazil
Laura Smale United States
Karin Isler Switzerland
Caroline Ross United Kingdom
James P. Higham United States
Ann MacLarnon relative to Gottfried Hohmann Germany Gottfried Hohmann's profile →
Citations per field
00.5×1.5×2.1×
Gottfried Hohmann · 1×
Citations per year

Countries citing papers authored by Ann MacLarnon

Since Specialization
Citations

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

Fields of papers citing papers by Ann MacLarnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ann MacLarnon, 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 Ann MacLarnon Line = papers co-authored together Ann MacLarnon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002279
2 2007176
3 1999161
4 1985156
5 2011103
6 201294
7 200890
8 201088
9 200087
10 201287
11 200985
12
Bat life histories:: Testing models of mammalian life-history evolution
200183
13 200477
14 200274
15 200469
16 201268
17 200663
18 201360
19 201655
20 200848

About Ann MacLarnon

Ann MacLarnon is a scholar working on Social Psychology, Ecology, Evolution, Behavior and Systematics, Small Animals, Developmental Biology and Ecology, having authored 65 papers that have together received 2.8k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (40 papers), Animal Behavior and Reproduction (19 papers), Neuroendocrine regulation and behavior (11 papers), Animal Vocal Communication and Behavior (11 papers), Animal Behavior and Welfare Studies (10 papers), Wildlife Ecology and Conservation (8 papers), Evolution and Paleontology Studies (7 papers) and Human-Animal Interaction Studies (6 papers). The work is most often cited by research in Developmental Biology (549 citations), Social Psychology (1.5k citations), Ecology, Evolution, Behavior and Systematics (1.2k citations), Paleontology (311 citations) and Small Animals (311 citations). Ann MacLarnon has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Stuart Semple, Kate E. Jones, Gwen Hewitt, Michael Heistermann, Caroline Ross, R. D. Martin, Bonaventura Majolo, James P. Higham, Laëtitia Maréchal and Emily Bethell. Their work appears in journals such as Folia Primatologica, Journal of Human Evolution, Hormones and Behavior, International Journal of Primatology and American Journal of Physical Anthropology.

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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