Lana Fall

1.4k citations
13 papers · 1.3k · 1 hit paper · h-index 10

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 2
    • Biochemical and Molecular Research 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Enzyme function and inhibition 2
    • Hemoglobin structure and function 7

Lana Fall

13 papers receiving 1.1k citations

Lana Fall's Hit Papers

Adenylate Energy Charge inEscherichia coliDuring Growth and Starvation 1971 · 729 citations
7290+18+36Years since publication200400600

Peers

Lana Fall
Comparison fields: 5 of 113
  • Biochemistry 105
  • Cell Biology 232
  • Molecular Biology 725
  • Clinical Biochemistry 61
  • Physiology 42
Replace D. W. Moss with:
D. W. Moss United Kingdom
Anders Thore Sweden
Michel Becchi France
W. Duane Brown United States
J. HAMELIN France
Carol S. Giometti United States
Sadao Wakabayashi Japan
Nepomuk Zöllner Germany
June Lascelles United States
T. R. C. Boyde Hong Kong
Lana Fall relative to D. W. Moss United Kingdom D. W. Moss's profile →
Citations per field
00.5×1.5×2.0×
D. W. Moss · 1×
Citations per year

Countries citing papers authored by Lana Fall

Since Specialization
Citations

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

Fields of papers citing papers by Lana Fall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lana Fall. 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 Lana Fall. The network helps show where Lana Fall may publish in the future.

Co-authors

The 18 scholars most cited alongside Lana Fall, 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 Lana Fall Line = papers co-authored together Lana Fall links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Adenylate Energy Charge inEscherichia coliDuring Growth and Starvation
Hit paper breakdown →
1971729
2 1968124
3 1967108
4 196894
5 198453
6 197949
7 198735
8 197828
9 198028
10 198812
11 19815
12 19814
13 19833

About Lana Fall

Lana Fall is a scholar working on Molecular Biology, Cell Biology, Genetics, Physiology and Organic Chemistry, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hemoglobin structure and function (7 papers), Hemoglobinopathies and Related Disorders (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Lipid Membrane Structure and Behavior (2 papers), Biochemical and Molecular Research (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Enzyme function and inhibition (2 papers) and Marine Biology and Environmental Chemistry (1 paper). The work is most often cited by research in Biochemistry (105 citations), Cell Biology (232 citations), Molecular Biology (725 citations), Clinical Biochemistry (61 citations) and Physiology (42 citations). Lana Fall has collaborated with scholars based in United States and Italy. Frequent co-authors include Daniel Atkinson, Astrid G. Chapman, Laura Shen, Gordon M. Walton, S. J. Gill, Robert C. Benedict, Jeffries Wyman, Antonio Parody‐Morreale, Ian McKinnon and Ray Fall. Their work appears in journals such as Biochemistry, Journal of Molecular Biology, Analytical Biochemistry, Journal of Bacteriology and Phytochemistry.

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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