David Soergel

6 papers and 565 indexed citations i.

About

David Soergel is a scholar working on Molecular Biology, Artificial Intelligence and Ecology. According to data from OpenAlex, David Soergel has authored 6 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Ecology. Recurrent topics in David Soergel’s work include Machine Learning and Data Classification (2 papers), Animal Behavior and Reproduction (1 paper) and RNA and protein synthesis mechanisms (1 paper). David Soergel is often cited by papers focused on Machine Learning and Data Classification (2 papers), Animal Behavior and Reproduction (1 paper) and RNA and protein synthesis mechanisms (1 paper). David Soergel collaborates with scholars based in United States. David Soergel's co-authors include Steven E. Brenner, Neelendu Dey, Rob Knight, Qi Meng, Liana F. Lareau, Angela N. Brooks, Susanna Repo, D. Sculley, Sandeep Gupta and Illia Polosukhin and has published in prestigious journals such as The ISME Journal, Animal Behaviour and Advances in experimental medicine and biology.

In The Last Decade

Co-authorship network of co-authors of David Soergel i

Fields of papers citing papers by David Soergel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Soergel

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025