Heidi E. Hamm

21.5k citations
228 papers · 16.8k indexed · 6 hit papers · h-index 61

Heidi E. Hamm

225 papers receiving 16.5k citations

Hit Papers

Heterotrimeric G protein activation by G-protein-...8661993202620042015250500750

Peers

Heidi E. Hamm
Comparison fields: 5 of 145
  • Cellular and Molecular Neuroscience 6.2k
  • Molecular Biology 13.0k
  • Cell Biology 2.4k
  • Endocrine and Autonomic Systems 801
  • Immunology and Allergy 589
Replace Edward B. Ziff with:
Edward B. Ziff United States
G. Stanley McKnight United States
Jeffrey Benovic United States
Rony Seger Israel
Richard T. Premont United States
Masatoshi Hagiwara Japan
C. Peter Downes United Kingdom
Richard R. Neubig United States
Wen‐Cheng Xiong United States
Vincent Giguère Canada
Heidi E. Hamm relative to Edward B. Ziff United States Edward B. Ziff's profile →
Citations per field
00.5×1.5×2.2×
Edward B. Ziff · 1×
Citations per year

Countries citing papers authored by Heidi E. Hamm

Since Specialization
Citations

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

Fields of papers citing papers by Heidi E. Hamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi E. Hamm. 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 Heidi E. Hamm. The network helps show where Heidi E. Hamm may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202217
3 20213
4 202015
5 20204
6 201913
7 201926
8 201712
9 20151
10 201123
11 201047
12 200916
13 2006174
14 200627
15 200342
16 2000403
17
Crystal structure of a GA protein βγdimer at 2.1 Å resolutionbreakdown →
1996654
18 199319
19 198813
20 198443

About Heidi E. Hamm

Heidi E. Hamm is a scholar working on Cellular and Molecular Neuroscience, Hematology, Molecular Biology, Cell Biology and Biophysics, having authored 228 papers that have together received 16.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (126 papers), Protein Kinase Regulation and GTPase Signaling (64 papers), Photoreceptor and optogenetics research (33 papers), Neuroscience and Neuropharmacology Research (30 papers), Blood Coagulation and Thrombosis Mechanisms (29 papers), Cellular transport and secretion (23 papers), Retinal Development and Disorders (23 papers) and Ion channel regulation and function (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.2k citations), Molecular Biology (13.0k citations), Cell Biology (2.4k citations), Endocrine and Autonomic Systems (801 citations) and Immunology and Allergy (589 citations). Heidi E. Hamm has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Paul B. Sigler, William M. Oldham, David G. Lambright, Joseph P. Noel, John Sondek, Nikolai P. Skiba, Andrew Bohm, Anita M. Preininger, Annette Gilchrist and M Menaker. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Biochemistry, Proceedings of the National Academy of Sciences and Nature.

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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