Alexander P. Fields

2.8k total citations · 2 hit papers
13 papers, 1.6k citations indexed

About

Alexander P. Fields is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Alexander P. Fields has authored 13 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Alexander P. Fields's work include Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA and protein synthesis mechanisms (4 papers). Alexander P. Fields is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA and protein synthesis mechanisms (4 papers). Alexander P. Fields collaborates with scholars based in United States, Switzerland and Germany. Alexander P. Fields's co-authors include Jonathan S. Weissman, Britt Adamson, Max A. Horlbeck, Martin Kampmann, Chong Yon Park, Jacob E. Corn, Jacqueline E. Villalta, Luke A. Gilbert, Yuwen Chen and Ryan A. Pak and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Alexander P. Fields

13 papers receiving 1.6k citations

Hit Papers

Compact and highly active next-generation libraries for C... 2016 2026 2019 2022 2016 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation
    2016 512 citations Max A. Horlbeck, Luke A. Gilbert et al. eLife profile →
  2. Pervasive functional translation of noncanonical human open reading frames
    2020 405 citations Jin Chen, Andreas‐David Brunner et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander P. Fields United States 10 1.3k 253 139 122 115 13 1.6k
John LaCava United States 21 2.2k 1.7× 194 0.8× 156 1.1× 100 0.8× 109 0.9× 49 2.5k
Sophie Bonnal Spain 20 2.4k 1.8× 347 1.4× 154 1.1× 114 0.9× 91 0.8× 33 2.6k
Evgeny M. Makarov United Kingdom 20 2.0k 1.5× 365 1.4× 105 0.8× 98 0.8× 121 1.1× 39 2.1k
Céline Verheggen France 24 2.3k 1.7× 252 1.0× 80 0.6× 93 0.8× 116 1.0× 36 2.4k
Gwenaël Badis France 14 2.7k 2.1× 270 1.1× 146 1.1× 133 1.1× 291 2.5× 18 3.0k
Rebecca Konietzny United Kingdom 19 1.0k 0.8× 165 0.7× 126 0.9× 344 2.8× 115 1.0× 28 1.3k
Marlene Oeffinger Canada 24 1.9k 1.5× 92 0.4× 104 0.7× 196 1.6× 76 0.7× 45 2.1k
Liana F. Lareau United States 12 3.0k 2.3× 422 1.7× 147 1.1× 75 0.6× 198 1.7× 15 3.2k
Robert L. Diaz United States 20 2.1k 1.6× 743 2.9× 103 0.7× 189 1.5× 153 1.3× 30 2.5k
Klaas W. Mulder Netherlands 20 1.7k 1.3× 153 0.6× 150 1.1× 252 2.1× 158 1.4× 34 2.3k

Countries citing papers authored by Alexander P. Fields

Since Specialization
Citations

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

Fields of papers citing papers by Alexander P. Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander P. Fields. 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 Alexander P. Fields. The network helps show where Alexander P. Fields may publish in the future.

Co-authorship network of co-authors of Alexander P. Fields

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

All Works

13 of 13 papers shown
1.
Scheer, Justin K., Chad Laux, Florian Wanivenhaus, et al.. (2023). POS0417 ACTIVATED NEUTROPHILS DEGRADE CARTILAGE ENDPLATES. Annals of the Rheumatic Diseases. 82. 464–465. 1 indexed citations
2.
Chen, Jin, Andreas‐David Brunner, J. Zachery Cogan, et al.. (2020). Pervasive functional translation of noncanonical human open reading frames. Science. 367(6482). 1140–1146. 405 indexed citations breakdown →
3.
Liu, Qin‐Wen, Rita Shaknovich, Xiaoji Chen, et al.. (2020). Abstract 139: cfDNA methylation profiling distinguishes lineage-specific hematologic malignancies. Cancer Research. 80(16_Supplement). 139–139. 1 indexed citations
4.
Eisenberg, Amy, Ina Hollerer, Alexander P. Fields, et al.. (2020). Translation Initiation Site Profiling Reveals Widespread Synthesis of Non-AUG-Initiated Protein Isoforms in Yeast. Cell Systems. 11(2). 145–160.e5. 42 indexed citations
5.
Bredno, Joerg, Jafi A. Lipson, Oliver Venn, et al.. (2020). Tumor area and microscopic extent of invasion to determine circulating tumor DNA fraction in plasma and detectability of colorectal cancer (CRC).. Journal of Clinical Oncology. 38(4_suppl). 243–243. 4 indexed citations
6.
Oxnard, Geoffrey R., Eric A. Klein, Michael V. Seiden, et al.. (2019). Simultaneous multi-cancer detection and tissue of origin (TOO) localization using targeted bisulfite sequencing of plasma cell-free DNA (cfDNA). Annals of Oncology. 30. v912–v912. 25 indexed citations
7.
Liu, Minetta C., Arash Jamshidi, Oliver Venn, et al.. (2019). Genome-wide cell-free DNA (cfDNA) methylation signatures and effect on tissue of origin (TOO) performance.. Journal of Clinical Oncology. 37(15_suppl). 3049–3049. 16 indexed citations
8.
Oxnard, Geoffrey R., Eric A. Klein, Michael V. Seiden, et al.. (2019). Simultaneous multi-cancer detection and tissue of origin (TOO) localization using targeted bisulfite sequencing of plasma cell-free DNA (cfDNA).. Journal of Global Oncology. 5(suppl). 44–44. 14 indexed citations
9.
Horlbeck, Max A., Luke A. Gilbert, Jacqueline E. Villalta, et al.. (2016). Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation. eLife. 5. 512 indexed citations breakdown →
10.
Jovanović, Marko, Michael S. Rooney, Philipp Mertins, et al.. (2015). Dynamic profiling of the protein life cycle in response to pathogens. Science. 347(6226). 1259038–1259038. 333 indexed citations
11.
Fields, Alexander P., Edwin H. Rodriguez, Marko Jovanović, et al.. (2015). A Regression-Based Analysis of Ribosome-Profiling Data Reveals a Conserved Complexity to Mammalian Translation. Molecular Cell. 60(5). 816–827. 166 indexed citations
12.
Fields, Alexander P., Elisabeth Meyer, & Adam E. Cohen. (2013). Euler buckling and nonlinear kinking of double-stranded DNA. Nucleic Acids Research. 41(21). 9881–9890. 34 indexed citations
13.
Zhu, Yiqian, Ileana Cuevas, Rodney A. Gabriel, et al.. (2009). Restoring Transcription Factor HoxA5 Expression Inhibits the Growth of Experimental Hemangiomas in the Brain. Journal of Neuropathology & Experimental Neurology. 68(6). 626–632. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by John LaCava Breakdown of academic impact, for papers by Sophie Bonnal Breakdown of academic impact, for papers by Evgeny M. Makarov Breakdown of academic impact, for papers by Céline Verheggen Breakdown of academic impact, for papers by Gwenaël Badis Breakdown of academic impact, for papers by Rebecca Konietzny Breakdown of academic impact, for papers by Marlene Oeffinger Breakdown of academic impact, for papers by Liana F. Lareau Breakdown of academic impact, for papers by Robert L. Diaz Breakdown of academic impact, for papers by Klaas W. Mulder
Rankless by CCL
2026