David L. Filmer

612 total citations
19 papers, 495 citations indexed

About

David L. Filmer is a scholar working on Molecular Biology, Cell Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, David L. Filmer has authored 19 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in David L. Filmer's work include Spectroscopy and Quantum Chemical Studies (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Enzyme function and inhibition (2 papers). David L. Filmer is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Enzyme function and inhibition (2 papers). David L. Filmer collaborates with scholars based in United States and Poland. David L. Filmer's co-authors include Terrance Cooper, M. Daniel Lane, Marcia Wishnick, E. T. Adams, Daniel E. Koshland, Kojiro TAKAHASHI, Henry Weiner, John R. Cannon, Jun Wu and Christoph M. Hoffmann and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

In The Last Decade

David L. Filmer

18 papers receiving 395 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David L. Filmer United States 10 255 102 54 52 50 19 495
J.H. Miller United States 14 369 1.4× 71 0.7× 20 0.4× 61 1.2× 45 0.9× 31 515
DA Harris United Kingdom 8 361 1.4× 54 0.5× 29 0.5× 33 0.6× 32 0.6× 14 671
W.D. Yushok United States 12 373 1.5× 77 0.8× 37 0.7× 18 0.3× 30 0.6× 15 646
Walter A. Susor United States 9 358 1.4× 131 1.3× 84 1.6× 34 0.7× 42 0.8× 9 521
Jinpei Yamashita Japan 17 645 2.5× 42 0.4× 31 0.6× 80 1.5× 80 1.6× 74 856
Jean‐Marie Salmon France 15 308 1.2× 29 0.3× 18 0.3× 64 1.2× 79 1.6× 43 601
Margareta Baltscheffsky Sweden 23 1.1k 4.2× 83 0.8× 38 0.7× 142 2.7× 59 1.2× 60 1.3k
Peter Scholes United Kingdom 9 425 1.7× 45 0.4× 22 0.4× 25 0.5× 40 0.8× 10 615
W. W. Prichard United States 5 251 1.0× 21 0.2× 33 0.6× 18 0.3× 35 0.7× 5 441
Keiichiro Okabe Japan 13 300 1.2× 114 1.1× 148 2.7× 24 0.5× 8 0.2× 22 591

Countries citing papers authored by David L. Filmer

Since Specialization
Citations

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

Fields of papers citing papers by David L. Filmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Filmer

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

All Works

19 of 19 papers shown
1.
Wu, Jun, Bartek Rajwa, David L. Filmer, et al.. (2003). Analysis of Orientations of Collagen Fibers by Novel Fiber-Tracking Software. Microscopy and Microanalysis. 9(6). 574–580. 30 indexed citations
2.
Wu, Jun, Bartek Rajwa, David L. Filmer, et al.. (2003). Automated quantification and reconstruction of collagen matrix from 3D confocal datasets. Journal of Microscopy. 210(2). 158–165. 38 indexed citations
3.
Wu, Jun, et al.. (2002). Modeling ECM fiber formation: structure information extracted by analysis of 2D and 3D image sets. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4621. 52–52. 4 indexed citations
4.
TAKAHASHI, Kojiro, Henry Weiner, & David L. Filmer. (1981). Effects of pH on horse liver aldehyde dehydrogenase: alterations in metal ion activation, number of functioning active sites, and hydrolysis of the acyl intermediate. Biochemistry. 20(21). 6225–6230. 36 indexed citations
5.
Filmer, David L., et al.. (1976). A digital procedure for the computation of ultracentrifuge data. Computers in Biology and Medicine. 6(1). 67–72. 1 indexed citations
6.
Cannon, John R., Paul DuChateau, & David L. Filmer. (1972). A numerical experiment on the determination of kinetic rate constants in the presence of diffusion. Bulletin of Mathematical Biology. 34(4). 547–558.
7.
Cannon, John R., et al.. (1970). A method of determining unknown rate constants in a chemical reaction in the presence of diffusion. Mathematical Biosciences. 9. 61–70. 5 indexed citations
8.
Filmer, David L. & Terrance Cooper. (1970). Effect of varying temperature and pH upon the predicted rate of “CO2” utilization by car☐ylases. Journal of Theoretical Biology. 29(1). 131–145. 25 indexed citations
9.
Cooper, Terrance, David L. Filmer, Marcia Wishnick, & M. Daniel Lane. (1969). The Active Species of “CO2” Utilized by Ribulose Diphosphate Carboxylase. Journal of Biological Chemistry. 244(4). 1081–1083. 189 indexed citations
10.
Spradlin, Joseph E., John A. Thoma, & David L. Filmer. (1969). Beta amylase thiol groups. Possible regulator sites?. Archives of Biochemistry and Biophysics. 134(1). 262–264. 3 indexed citations
11.
Cannon, John R. & David L. Filmer. (1968). A numerical experiment on the determination of unknown parameters in an analytic system of ordinary differential equations. Mathematical Biosciences. 3. 267–274. 2 indexed citations
12.
Filmer, David L., et al.. (1967). A method for determination of rate constants in enzyme reactions. Journal of Theoretical Biology. 16(2). 280–293. 4 indexed citations
13.
Cannon, John R. & David L. Filmer. (1967). The Determination of Unknown Parameters in Analytic Systems of Ordinary Differential Equations. SIAM Journal on Applied Mathematics. 15(4). 799–809. 9 indexed citations
14.
Adams, E. T. & David L. Filmer. (1966). Sedimentation Equilibrium in Reacting Systems. IV. Verification of the Theory*. Biochemistry. 5(9). 2971–2985. 63 indexed citations
15.
Filmer, David L. & John R. Cannon. (1965). Analysis of a procedure for the determination of kinetic rate constants. Bulletin of Mathematical Biology. 27(3). 253–263. 2 indexed citations
16.
Filmer, David L., et al.. (1965). A digital procedure for the computation of amino acid analyzer data. Analytical Biochemistry. 10(1). 53–72. 34 indexed citations
17.
Filmer, David L. & Daniel E. Koshland. (1964). Role of tyrosine residues in chymotrypsin action. Biochemical and Biophysical Research Communications. 17(2). 189–195. 12 indexed citations
18.
Filmer, David L. & Daniel E. Koshland. (1963). Molecular weight of the phospho and dephospho forms of phosphoglucomutase. Biochimica et Biophysica Acta. 77. 334–336. 35 indexed citations
19.
Hanson, R. P., et al.. (1960). Properties of Fahey-Crawley Virus. Avian Diseases. 4(1). 79–79. 3 indexed citations

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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