Eric S. Lander

3.6k total citations · 1 hit paper
7 papers, 2.1k citations indexed

About

Eric S. Lander is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Eric S. Lander has authored 7 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Eric S. Lander's work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetics and Plant Breeding (2 papers) and RNA modifications and cancer (1 paper). Eric S. Lander is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetics and Plant Breeding (2 papers) and RNA modifications and cancer (1 paper). Eric S. Lander collaborates with scholars based in United States, Germany and Finland. Eric S. Lander's co-authors include John D. Hewitt, Andrew H. Paterson, Susan M. Peterson, Stephen E. Lincoln, Jonathan B. Singer, Joseph H. Nadeau, Angabin Matin, Tau‐Mu Yi, Minna Savukoski and Tuomas Klockars and has published in prestigious journals such as Nature, Nature Genetics and Journal of Molecular Biology.

In The Last Decade

Eric S. Lander

7 papers receiving 2.0k citations

Hit Papers

Resolution of quantitative traits into Mendelian factors ... 1988 2026 2000 2013 1988 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric S. Lander United States 7 1.2k 963 768 264 178 7 2.1k
Joyce Miller United States 9 768 0.7× 707 0.7× 865 1.1× 70 0.3× 90 0.5× 10 1.7k
Michael Regulski United States 24 427 0.4× 987 1.0× 1.5k 1.9× 138 0.5× 105 0.6× 34 2.4k
Laurence Liaubet France 21 232 0.2× 312 0.3× 651 0.8× 107 0.4× 216 1.2× 51 1.3k
Michael J. O’Neill United States 21 791 0.7× 591 0.6× 1.1k 1.4× 54 0.2× 31 0.2× 38 1.6k
Jessica Severin Japan 17 661 0.6× 296 0.3× 2.0k 2.6× 132 0.5× 214 1.2× 25 2.8k
Xiaoxia Cui United States 21 490 0.4× 337 0.3× 1.2k 1.5× 63 0.2× 171 1.0× 42 1.7k
Nicolas Vinckenbosch Switzerland 10 755 0.6× 637 0.7× 1.4k 1.8× 104 0.4× 42 0.2× 10 1.9k
Mark Barnett United Kingdom 20 433 0.4× 331 0.3× 986 1.3× 48 0.2× 120 0.7× 32 1.5k
Elena Raimondi Italy 23 440 0.4× 552 0.6× 845 1.1× 62 0.2× 96 0.5× 84 1.5k
David Greenstein United States 28 311 0.3× 236 0.2× 1.4k 1.8× 161 0.6× 268 1.5× 54 2.7k

Countries citing papers authored by Eric S. Lander

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Lander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Lander. 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 Eric S. Lander. The network helps show where Eric S. Lander may publish in the future.

Co-authorship network of co-authors of Eric S. Lander

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

All Works

7 of 7 papers shown
1.
Ardlie, Kristin, Michael A. Eberle, Mark J. Daly, et al.. (2001). Lower-Than-Expected Linkage Disequilibrium between Tightly Linked Markers in Humans Suggests a Role for Gene Conversion. The American Journal of Human Genetics. 69(3). 582–589. 82 indexed citations
2.
Nadeau, Joseph H., Jonathan B. Singer, Angabin Matin, & Eric S. Lander. (2000). Analysing complex genetic traits with chromosome substitution strains. Nature Genetics. 24(3). 221–225. 341 indexed citations
3.
Pfeifer, Dietmar, Ralf Kist, Ken Dewar, et al.. (1999). Campomelic Dysplasia Translocation Breakpoints Are Scattered over 1 Mb Proximal to SOX9: Evidence for an Extended Control Region. The American Journal of Human Genetics. 65(1). 111–124. 153 indexed citations
4.
Savukoski, Minna, Tuomas Klockars, Ville Holmberg, et al.. (1998). CLN5, a novel gene encoding a putative transmembrane protein mutated in Finnish variant late infantile neuronal ceroid lipofuscinosis. Nature Genetics. 19(3). 286–288. 227 indexed citations
5.
Yi, Tau‐Mu & Eric S. Lander. (1993). Protein Secondary Structure Prediction Using Nearest-neighbor Methods. Journal of Molecular Biology. 232(4). 1117–1129. 115 indexed citations
6.
Goff, Deborah J., et al.. (1992). Identification of polymorphic simple sequence repeats in the genome of the zebrafish. Genomics. 14(1). 200–202. 53 indexed citations
7.
Paterson, Andrew H., et al.. (1988). Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms. Nature. 335(6192). 721–726. 1129 indexed citations breakdown →

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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