Enrico Macholdt

1.4k total citations
8 papers, 312 citations indexed

About

Enrico Macholdt is a scholar working on Genetics, Archeology and Molecular Biology. According to data from OpenAlex, Enrico Macholdt has authored 8 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 3 papers in Archeology and 2 papers in Molecular Biology. Recurrent topics in Enrico Macholdt's work include Forensic and Genetic Research (7 papers), Genetic diversity and population structure (3 papers) and Forensic Anthropology and Bioarchaeology Studies (3 papers). Enrico Macholdt is often cited by papers focused on Forensic and Genetic Research (7 papers), Genetic diversity and population structure (3 papers) and Forensic Anthropology and Bioarchaeology Studies (3 papers). Enrico Macholdt collaborates with scholars based in Germany, France and Thailand. Enrico Macholdt's co-authors include Mark Stoneking, Brigitte Pakendorf, Roland Schröder, Montgomery Slatkin, Alexander Hübner, Chiara Barbieri, Sununguko Wata Mpoloka, Leonardo Arias, Jatupol Kampuansai and Hua Chen and has published in prestigious journals such as Current Biology, Scientific Reports and Molecular Biology and Evolution.

In The Last Decade

Enrico Macholdt

8 papers receiving 304 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Enrico Macholdt Germany	8	223	82	62	24	21	8	312
A. Caglià Italy	12	435 2.0×	140 1.7×	92 1.5×	31 1.3×	14 0.7×	18	511
Jason Blue-Smith United Kingdom	5	366 1.6×	133 1.6×	154 2.5×	68 2.8×	53 2.5×	6	535
Francesca Brisighelli Italy	13	347 1.6×	81 1.0×	116 1.9×	18 0.8×	44 2.1×	29	435
Mark Zlojutro United States	9	190 0.9×	71 0.9×	60 1.0×	17 0.7×	39 1.9×	21	330
Ирина Морозова Russia	9	169 0.8×	65 0.8×	100 1.6×	33 1.4×	24 1.1×	24	329
S. O. Y. Keita United States	10	210 0.9×	26 0.3×	154 2.5×	56 2.3×	29 1.4×	27	387
Leonardo Arias Germany	11	271 1.2×	112 1.4×	61 1.0×	18 0.8×	38 1.8×	17	360
Alexandra Coutinho Sweden	5	144 0.6×	55 0.7×	100 1.6×	114 4.8×	95 4.5×	8	305
Zahra Mobasher United States	8	331 1.5×	66 0.8×	80 1.3×	26 1.1×	24 1.1×	8	474
P. Santolamazza Italy	10	589 2.6×	117 1.4×	169 2.7×	41 1.7×	27 1.3×	13	740

Countries citing papers authored by Enrico Macholdt

Since Specialization

Citations

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

Fields of papers citing papers by Enrico Macholdt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Macholdt

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Macholdt. A scholar is included among the top collaborators of Enrico Macholdt 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 Enrico Macholdt. Enrico Macholdt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Macholdt, Enrico, Leonardo Arias, Nguyễn Thùy Dương, et al.. (2019). The paternal and maternal genetic history of Vietnamese populations. European Journal of Human Genetics. 28(5). 636–645. 22 indexed citations

2.

Kutanan, Wibhu, Jatupol Kampuansai, Metawee Srikummool, et al.. (2019). Contrasting Paternal and Maternal Genetic Histories of Thai and Lao Populations. Molecular Biology and Evolution. 36(7). 1490–1506. 43 indexed citations

3.

Kutanan, Wibhu, Jatupol Kampuansai, Piya Changmai, et al.. (2018). Contrasting maternal and paternal genetic variation of hunter-gatherer groups in Thailand. Scientific Reports. 8(1). 1536–1536. 22 indexed citations

4.

Kutanan, Wibhu, Jatupol Kampuansai, Andrea Brunelli, et al.. (2018). New insights from Thailand into the maternal genetic history of Mainland Southeast Asia. European Journal of Human Genetics. 26(6). 898–911. 53 indexed citations

5.

Dương, Nguyễn Thùy, Enrico Macholdt, Nguyễn Đăng Tôn, et al.. (2018). Complete human mtDNA genome sequences from Vietnam and the phylogeography of Mainland Southeast Asia. Scientific Reports. 8(1). 11651–11651. 32 indexed citations

6.

Barbieri, Chiara, Alexander Hübner, Enrico Macholdt, et al.. (2016). Refining the Y chromosome phylogeny with southern African sequences. Human Genetics. 135(5). 541–553. 36 indexed citations

7.

Macholdt, Enrico, Vera Lede, Chiara Barbieri, et al.. (2014). Tracing Pastoralist Migrations to Southern Africa with Lactase Persistence Alleles. Current Biology. 24(8). 875–879. 84 indexed citations

8.

Macholdt, Enrico, Montgomery Slatkin, Brigitte Pakendorf, & Mark Stoneking. (2014). New insights into the history of the C‐14010 lactase persistence variant in Eastern and Southern Africa. American Journal of Physical Anthropology. 156(4). 661–664. 20 indexed citations

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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