H. Jeffrey Lawrence

2.1k citations
32 papers · 1.7k indexed · h-index 21

H. Jeffrey Lawrence

31 papers receiving 1.7k citations

Peers

H. Jeffrey Lawrence
Comparison fields: 5 of 87
  • Hematology 242
  • Cancer Research 249
  • Pulmonary and Respiratory Medicine 506
  • Molecular Biology 1.0k
  • Cell Biology 120
Replace Heinz-Ulrich G. Weier with:
Heinz-Ulrich G. Weier United States
Oscar B. Goodman United States
Marc Delord France
Daniel Wai United States
Naoki Kitabayashi United States
Adam H. Hart Australia
Suvi Savola Netherlands
Jaya Goyal United States
Mary Jo Fackler United States
Heather C. Flynn United States
H. Jeffrey Lawrence relative to Heinz-Ulrich G. Weier United States Heinz-Ulrich G. Weier's profile →
Citations per field
00.5×6.1×
Heinz-Ulrich G. Weier · 1×
Citations per year

Countries citing papers authored by H. Jeffrey Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by H. Jeffrey Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Jeffrey Lawrence. 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 H. Jeffrey Lawrence. The network helps show where H. Jeffrey Lawrence may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201789
2 201724
3 20171
4 20161
5 201617
6 201537
7 2014231
8
A guide for clinicians in the evaluation of emerging molecular diagnostics for newly diagnosed prostate cancer.
201420
9 200439
10 200429
11 200372
12 1998109
13 1997157
14 1997139
15 1996100
16 199335
17 199146
18 198920
19 198913
20 198722

About H. Jeffrey Lawrence

H. Jeffrey Lawrence is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Allergy, Statistics and Probability and Molecular Biology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (14 papers), Prostate Cancer Diagnosis and Treatment (13 papers), Genomics and Chromatin Dynamics (8 papers), Developmental Biology and Gene Regulation (7 papers), Cancer, Lipids, and Metabolism (6 papers), Cancer-related gene regulation (5 papers), RNA Research and Splicing (3 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Hematology (242 citations), Cancer Research (249 citations), Pulmonary and Respiratory Medicine (506 citations), Molecular Biology (1.0k citations) and Cell Biology (120 citations). H. Jeffrey Lawrence has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Corey Largman, Wei-Fang Shen, Maria Cristina Magli, Phillip G. Febbo, Guy Sauvageau, R. Keith Humphries, Arthur M. Buchberg, Sofia Rozenfeld, John J. Moskow and Athanasios C. Tsiatis. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology, Blood, Journal of Investigative Dermatology and European Urology.

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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