William M. Schopperle

22 total papers · 589 total citations
15 papers, 487 citations indexed

About

William M. Schopperle is a scholar working on Molecular Biology, Reproductive Medicine and Oncology. According to data from OpenAlex, William M. Schopperle has authored 15 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Reproductive Medicine and 3 papers in Oncology. Recurrent topics in William M. Schopperle's work include Sperm and Testicular Function (4 papers), Signaling Pathways in Disease (2 papers) and Proteins in Food Systems (2 papers). William M. Schopperle is often cited by papers focused on Sperm and Testicular Function (4 papers), Signaling Pathways in Disease (2 papers) and Proteins in Food Systems (2 papers). William M. Schopperle collaborates with scholars based in United States and United Kingdom. William M. Schopperle's co-authors include William C. DeWolf, Daniel Dagan, Irwin B. Levitan, Leslie C. Griffith, David B. Kershaw, Yi Zhou, Heather E. Murrey, Jing Wang, Yi Zhou and Zheng Wang and has published in prestigious journals such as Neuron, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

William M. Schopperle

13 papers receiving 476 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
William M. Schopperle	358	111	70	55	52	15	487
Solei Cermenati	303 0.8×	127 1.1×	64 0.9×	48 0.9×	41 0.8×	10	518
Ana Novaković	220 0.6×	46 0.4×	71 1.0×	89 1.6×	41 0.8×	20	531
R. Cinti	280 0.8×	91 0.8×	105 1.5×	30 0.5×	72 1.4×	23	548
Nicolas Figeac	386 1.1×	58 0.5×	21 0.3×	37 0.7×	65 1.3×	15	477
Anna Lina Cavallo	355 1.0×	54 0.5×	67 1.0×	46 0.8×	35 0.7×	9	503
Rachel Montpetit	394 1.1×	70 0.6×	70 1.0×	22 0.4×	28 0.5×	15	530
Cathleen Rawson	357 1.0×	54 0.5×	83 1.2×	50 0.9×	34 0.7×	12	550
Éva Bakó	321 0.9×	136 1.2×	51 0.7×	25 0.5×	44 0.8×	16	505
Kenyi Saito‐Diaz	327 0.9×	55 0.5×	68 1.0×	35 0.6×	35 0.7×	15	443
Serena Giuliano	311 0.9×	50 0.5×	50 0.7×	64 1.2×	20 0.4×	16	478

Countries citing papers authored by William M. Schopperle

Since Specialization

Citations

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

Fields of papers citing papers by William M. Schopperle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Schopperle. 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 William M. Schopperle. The network helps show where William M. Schopperle may publish in the future.

Co-authorship network of co-authors of William M. Schopperle

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

All Works

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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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