Lori J. Sokoll

23.8k citations
231 papers · 12.4k indexed · 3 hit papers · h-index 54

Lori J. Sokoll

226 papers receiving 12.1k citations

Hit Papers

Circulating mutant DNA to assess tumor dynamics2.0k200120262009201750010001.5k2.0k

Peers

Lori J. Sokoll
Comparison fields: 5 of 165
  • Cancer Research 3.3k
  • Pulmonary and Respiratory Medicine 4.6k
  • Nephrology 843
  • Oncology 2.3k
  • Spectroscopy 1.1k
Replace Michael J. Mihatsch with:
Michael J. Mihatsch Switzerland
Dan Theodorescu United States
Robert Rosenberg United States
Christoph Röcken Germany
Kim Pettersson Finland
Peter Schirmacher Germany
Xavier Filella Spain
Alexander Stojadinovic United States
Ganesh V. Raj United States
Axel S. Merseburger Germany
Lori J. Sokoll relative to Michael J. Mihatsch Switzerland Michael J. Mihatsch's profile →
Citations per field
00.5×4.8×
Michael J. Mihatsch · 1×
Citations per year

Countries citing papers authored by Lori J. Sokoll

Since Specialization
Citations

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

Fields of papers citing papers by Lori J. Sokoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lori J. Sokoll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lori J. Sokoll Line = papers co-authored together Lori J. Sokoll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20261
2 202417
3 202313
4 20231
5 202316
6 202212
7 20216
8 20215
9 20183
10 20186
11 201549
12 201117
13 200944
14 20092
15
Circulating mutant DNA to assess tumor dynamicsbreakdown →
20082024
16 200833
17
Protein identification and immunoassay evaluation of a panel of biomarkers discovered through proteomic profiling for the detection of ovarian cancer
20040
18 200212
19
Total, free, and complexed PSA: Analysis and clinical utility
199811
20 199811

About Lori J. Sokoll

Lori J. Sokoll is a scholar working on Pulmonary and Respiratory Medicine, Nephrology and Cancer Research, having authored 231 papers that have together received 12.4k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (78 papers), Prostate Cancer Treatment and Research (77 papers), Urologic and reproductive health conditions (17 papers), Molecular Biology Techniques and Applications (16 papers), Advanced Proteomics Techniques and Applications (14 papers), Cancer, Lipids, and Metabolism (14 papers), Clinical Laboratory Practices and Quality Control (13 papers) and Parathyroid Disorders and Treatments (13 papers). The work is most often cited by research in Cancer Research (3.3k citations), Pulmonary and Respiratory Medicine (4.6k citations) and Nephrology (843 citations). Lori J. Sokoll has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Daniel W. Chan, Alan W. Partin, Robert Udelsman, Daniel W. Chan, Bert Vogelstein, Kenneth W. Kinzler, Peter B. Luppa, Katherine A. Thornton, Steven N. Goodman and Katharine Romans. Their work appears in journals such as JAMA, Circulation and Nature Medicine.

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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