Matthew A. Lambert

2.1k citations
46 papers · 1.7k · h-index 19

Impact in

Papers in

Matthew A. Lambert

44 papers receiving 1.6k citations

Peers

Matthew A. Lambert
Comparison fields: 5 of 110
  • Endocrinology 187
  • Hematology 251
  • Genetics 214
  • Molecular Medicine 76
  • Radiology, Nuclear Medicine and Imaging 316
Replace Joseph J. Lospalluto with:
Joseph J. Lospalluto United States
Heiyoung Park United States
Vivekanand Datta United States
F M Griffin United States
James E. Hopper United States
Livia Blum United States
Susan D. Wilson United States
Steven R. Leong United States
Priscilla A. Campbell United States
Jenny Parkkinen Finland
Matthew A. Lambert relative to Joseph J. Lospalluto United States Joseph J. Lospalluto's profile →
Citations per field
00.5×50×111×
Joseph J. Lospalluto · 1×
Citations per year

Countries citing papers authored by Matthew A. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007331
2 2018235
3 2020141
4 2016101
5 200880
6 201679
7 201172
8 202060
9 200956
10 201253
11 201346
12 200945
13 200735
14 200334
15 196525
16 200322
17 202422
18 201521
19 202120
20 202219

About Matthew A. Lambert

Matthew A. Lambert is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Immunology, Endocrinology, Diabetes and Metabolism and Hematology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (4 papers), T-cell and B-cell Immunology (4 papers), Cardiac Imaging and Diagnostics (4 papers), Hormonal and reproductive studies (4 papers), Cardiovascular Function and Risk Factors (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Endocrinology (187 citations), Hematology (251 citations), Genetics (214 citations), Molecular Medicine (76 citations) and Radiology, Nuclear Medicine and Imaging (316 citations). Matthew A. Lambert has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Stephen G. J. Smith, Robert P. Fagan, Vivienne Mahon, Orla Cunningham, G. W. Pennington, May Tam, Andrew E. Armitage, João Arezes, Reema Jasuja and Edward R. LaVallie. Their work appears in journals such as Clinical Science, Radiology, Blood, Journal of Molecular Biology and mAbs.

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