David M. Lawson

2.5k citations
61 papers · 2.1k indexed · 1 hit paper · h-index 18
Topics
Growth Hormone and Insulin-like Growth Factors (21 papers)Hypothalamic control of reproductive hormones (12 papers)Estrogen and related hormone effects (12 papers)

In The Last Decade

David M. Lawson

61 papers receiving 2.0k citations

Hit Papers

Solving the structure of human H ferritin by genetically ...19912026200220141991200400600

Peers

David M. Lawson
Comparison fields: 5 of 152
  • Molecular Biology 595
  • Hematology 487
  • Nutrition and Dietetics 350
  • Small Animals 279
  • Social Psychology 257
Replace Bernard A. van Oost with:
Bernard A. van Oost Netherlands
William H. Chambers United States
Steven R. Grossman United States
Sang Hyuck Lee United States
M. E. Suzanne Lewis Canada
K A Brown United Kingdom
Charlotte O. Ladd United States
Kjerstin Larsson Sweden
Richard A. Hughes United Kingdom
Mária Sasvári‐Székely Hungary
David M. Lawson relative to Bernard A. van Oost Netherlands Bernard A. van Oost's profile →
Citations per field
00.5×1.5×2.2×
Bernard A. van Oost · 1×
Citations per year

Countries citing papers authored by David M. Lawson

Since Specialization
Citations

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

Fields of papers citing papers by David M. Lawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Lawson. 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 David M. Lawson. The network helps show where David M. Lawson may publish in the future.

Co-authorship network of co-authors of David M. Lawson

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 21
3 7
4 10
5 5
6 1
7 2
8 8
9 5
10
Solving the structure of human H ferritin by genetically engineering intermolecular crystal contactsbreakdown →
639
11 7
12 261
13 4
14 11
15 4
16
Strategic Directives with Resistant Clients.
3
17 6
18 2
19 45
20 10

About David M. Lawson

David M. Lawson is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Small Animals, having authored 61 papers that have together received 2.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), Hypothalamic control of reproductive hormones (12 papers) and Estrogen and related hormone effects (12 papers). The work is most often cited by research in Behavioral Neuroscience (243 citations), Hematology (487 citations) and Small Animals (279 citations). David M. Lawson has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Jody Sharp, Toni Azar, Richard R. Gala, Timothy Zammit, Amyra Treffry, Sonia Levi, S J Yewdall, Alessandra Luzzago, Pauline M. Harrison and Peter J. Artymiuk. Their work appears in journals such as Nature, Journal of Clinical Investigation and FEBS Letters.

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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