L.A. Modlin

26 papers receiving 2.1k citations

Hit Papers

An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage 2014 · 1.5k citations
1.5k201420262018202250010001.5k

Peers

L.A. Modlin
Comparison fields: 5 of 94
  • Cancer Research 1.4k
  • Pulmonary and Respiratory Medicine 1.0k
  • Oncology 697
  • Genetics 263
  • Pathology and Forensic Medicine 351
Replace Sheryl Green with:
Sheryl Green United States
Lana Harder Germany
Jasmine H. Francis United States
David Krug Germany
Susan Chi United States
Sarah A. Weiss United States
Raymond S. Lim United States
Dana Wallace United States
Tom J. Snijders Netherlands
L.A. Modlin relative to Sheryl Green United States Sheryl Green's profile →
Citations per field
00.5×5.8×
Sheryl Green · 1×
Citations per year

Countries citing papers authored by L.A. Modlin

Since Specialization
Citations

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

Fields of papers citing papers by L.A. Modlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A. Modlin. 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 L.A. Modlin. The network helps show where L.A. Modlin may publish in the future.

Co-authors

The 25 scholars most cited alongside L.A. Modlin, 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 L.A. Modlin Line = papers co-authored together L.A. Modlin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage
Hit paper breakdown →
20141547
2 2013125
3 2012102
4 201288
5 201571
6 201133
7 201530
8 201129
9 201423
10 201223
11 202013
12 201713
13 20159
14 20219
15 20158
16 20227
17 20147
18 20217
19 20165
20 20125

About L.A. Modlin

L.A. Modlin is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Radiation, Cancer Research and Experimental and Cognitive Psychology, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (10 papers), Glioma Diagnosis and Treatment (10 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Cancer Genomics and Diagnostics (4 papers), Meningioma and schwannoma management (4 papers), Medical Imaging Techniques and Applications (3 papers), BRCA gene mutations in cancer (3 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Cancer Research (1.4k citations), Pulmonary and Respiratory Medicine (1.0k citations), Oncology (697 citations), Genetics (263 citations) and Pathology and Forensic Medicine (351 citations). L.A. Modlin has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Heather A. Wakelee, Joel W. Neal, Maximilian Diehn, Scott V. Bratman, Jacob Wynne, Chih Long Liu, Aaron M. Newman, Robert E. Merritt, Neville Eclov and Billy W. Loo. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Radiotherapy and Oncology, Nature Medicine and Technology in Cancer Research & Treatment.

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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