Steven J. Sandler

5.5k citations
63 papers · 4.5k indexed · 1 hit paper · h-index 32
Topics
DNA Repair Mechanisms (51 papers)Bacterial Genetics and Biotechnology (51 papers)DNA and Nucleic Acid Chemistry (19 papers)
Partner nations
United StatesCanadaJapan

In The Last Decade

Steven J. Sandler

63 papers receiving 4.4k citations

Hit Papers

The importance of repairing stalled replication forks20002026200820172000250500750

Peers

Steven J. Sandler
Comparison fields: 5 of 106
  • Molecular Biology 3.5k
  • Genetics 2.2k
  • Environmental Engineering 630
  • Ecology 504
  • Biomedical Engineering 311
Replace Patricia J. Kiley with:
Patricia J. Kiley United States
Hans‐Georg Koch Germany
Frank Sargent United Kingdom
Lars Hederstedt Sweden
Hauke Hennecke Switzerland
Geoffrey R. Moore United Kingdom
Richard J. Lewis United Kingdom
Zasha Weinberg United States
Mike Merrick United Kingdom
José Pérez‐Martín Spain
Steven J. Sandler relative to Patricia J. Kiley United States Patricia J. Kiley's profile →
Citations per field
00.5×1.5×
Patricia J. Kiley · 1×
Citations per year

Countries citing papers authored by Steven J. Sandler

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Sandler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Sandler. 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 Steven J. Sandler. The network helps show where Steven J. Sandler may publish in the future.

Co-authorship network of co-authors of Steven J. Sandler

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 8
3 6
4 85
5 49
6 117
7 9
8 19
9 41
10 17
11 69
12 29
13 32
14 95
15 50
16
The importance of repairing stalled replication forksbreakdown →
861
17 117
18 18
19 24
20 21

About Steven J. Sandler

Steven J. Sandler is a scholar working on Genetics, Molecular Biology and Structural Biology, having authored 63 papers that have together received 4.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (51 papers), Bacterial Genetics and Biotechnology (51 papers) and DNA and Nucleic Acid Chemistry (19 papers). The work is most often cited by research in Genetics (2.2k citations), Molecular Biology (3.5k citations) and Environmental Engineering (630 citations). Steven J. Sandler has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Kenneth J. Marians, Alvin J. Clark, Michael M. Cox, Kenneth N. Kreuzer, Myron F. Goodman, Derek R. Lovley, Ching Leang, Maddalena V. Coppi, Jesse D. McCool and James L. Keck. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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