L. J. Haňka

864 total citations
31 papers, 675 citations indexed

About

L. J. Haňka is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, L. J. Haňka has authored 31 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Pharmacology and 9 papers in Organic Chemistry. Recurrent topics in L. J. Haňka's work include Microbial Natural Products and Biosynthesis (9 papers), Fungal Biology and Applications (7 papers) and Cancer therapeutics and mechanisms (6 papers). L. J. Haňka is often cited by papers focused on Microbial Natural Products and Biosynthesis (9 papers), Fungal Biology and Applications (7 papers) and Cancer therapeutics and mechanisms (6 papers). L. J. Haňka collaborates with scholars based in United States and United Kingdom. L. J. Haňka's co-authors include David G. Martin, A Dietz, Sandra L. Kuentzel, G L Neil, L. M. Reineke, S. A. MIZSAK, Carolyn Biles, William C. Krueger, J. Patrick McGovren and R. B. Kelly and has published in prestigious journals such as Science, Journal of Bacteriology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

L. J. Haňka

30 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. J. Haňka United States 13 453 243 154 84 53 31 675
K. Eckardt Germany 16 370 0.8× 307 1.3× 395 2.6× 65 0.8× 76 1.4× 74 727
Haideh Motamedi United States 18 937 2.1× 219 0.9× 818 5.3× 99 1.2× 36 0.7× 26 1.3k
Marek Gniazdowski Poland 13 774 1.7× 99 0.4× 35 0.2× 137 1.6× 49 0.9× 37 992
G. Caporale Italy 12 235 0.5× 174 0.7× 97 0.6× 21 0.3× 62 1.2× 31 558
T. Ogawa Japan 15 410 0.9× 228 0.9× 214 1.4× 71 0.8× 73 1.4× 34 795
M. L. EDWARDS United States 17 468 1.0× 596 2.5× 133 0.9× 41 0.5× 32 0.6× 48 1.1k
Hannelore Drautz Germany 12 337 0.7× 323 1.3× 372 2.4× 19 0.2× 48 0.9× 18 712
Koko Sugawara Japan 16 484 1.1× 264 1.1× 282 1.8× 118 1.4× 40 0.8× 20 762
A Dietz United States 11 337 0.7× 162 0.7× 167 1.1× 51 0.6× 44 0.8× 18 534
Ryuji Marumoto Japan 15 542 1.2× 131 0.5× 62 0.4× 81 1.0× 41 0.8× 38 804

Countries citing papers authored by L. J. Haňka

Since Specialization
Citations

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

Fields of papers citing papers by L. J. Haňka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. J. Haňka

This figure shows the co-authorship network connecting the top 25 collaborators of L. J. Haňka. A scholar is included among the top collaborators of L. J. Haňka 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 L. J. Haňka. L. J. Haňka 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
1.
Haňka, L. J. & Ronda D. Schaadt. (1988). Methods for isolation of streptoverticillia from soils.. The Journal of Antibiotics. 41(4). 576–578. 3 indexed citations
2.
Haňka, L. J., et al.. (1985). A method for isolating strains of the genusStreptoverticilliumfrom soil. FEMS Microbiology Letters. 30(3). 365–368. 2 indexed citations
3.
Li, Li H., et al.. (1984). Biological evaluation of stability of 5-azacytidine.. The Journal of Antibiotics. 37(4). 419–421. 2 indexed citations
4.
Wiley, Paul F., et al.. (1982). Two new polypeptide antibiotics, CC-1014 and CC-1014B.. The Journal of Antibiotics. 35(9). 1231–1233. 3 indexed citations
5.
Martin, David G., Carolyn Biles, L. J. Haňka, et al.. (1981). CC-1065(NSC 298223), a potent new antitumor agent. Improved production and isolation, characterization and antitumor activity.. The Journal of Antibiotics. 34(9). 1119–1125. 120 indexed citations
6.
Haňka, L. J., Sandra L. Kuentzel, David G. Martin, Paul F. Wiley, & G L Neil. (1978). Detection and Assay of Antitumor Antibiotics. PubMed. 63. 69–76. 13 indexed citations
7.
8.
Martin, David G., L. J. Haňka, & G L Neil. (1978). Isolation, characterization, and preliminary antitumor evaluation of cc-1065, a potent new agent from fermentation. Abstr.. The Mouseion at the JAXlibrary (Jackson Laboratory). 99. 7 indexed citations
9.
Neil, G L, et al.. (1975). Enhancement by tetrahydrouridine (NSC-112907) of the oral activity of 5-azacytidine (NSC-102816) in L1210 leukemic mice.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 59(3). 459–65. 20 indexed citations
10.
Martin, David G., L. J. Haňka, & G L Neil. (1975). A new antitumor agent, (alphas, 4s, 5r)-alpha-amino-3-chloro-4-hydroxy-4,5-dihydro-5-isoxazoleacetic acid (NSC-176324): preliminary evaluation against L 1210 mouse leukemia in vivo.. PubMed. 58(6). 935–7. 3 indexed citations
11.
Haňka, L. J., et al.. (1974). Microbiological Assays and Bioautography of Maytansine and Its Homologues. Antimicrobial Agents and Chemotherapy. 6(5). 651–652. 18 indexed citations
12.
Haňka, L. J., David G. Martin, & G L Neil. (1973). A new antitumor antimetabolite, (alphaS,5S)-alpha-amino-3-chloro-4,5-dihydro-5-isoxazoleacetic acid (NSC-163501): antimicrobial reversal studies and preliminary evaluation against L1210 mouse leukemia in vivo.. PubMed. 57(2). 141–8. 21 indexed citations
13.
Haňka, L. J. & A Dietz. (1973). U-42, 126, a New Antimetabolite Antibiotic: Production, Biological Activity, and Taxonomy of the Producing Microorganism. Antimicrobial Agents and Chemotherapy. 3(3). 425–431. 36 indexed citations
14.
Haňka, L. J.. (1972). Correlative Microbiological Assays. Advances in applied microbiology. 15. 147–156. 6 indexed citations
15.
Martin, David G., L. J. Haňka, & L. M. Reineke. (1971). New antimetabolite antibiotics related to biotin: α-methyldethiobiotin and α-methylbiotin (1). Tetrahedron Letters. 12(41). 3791–3794. 10 indexed citations
16.
Harmon, Robert E., et al.. (1970). Preparation and Biological Activity of Substituted 1,3-Distyry1-4,6-dinitrobenzens. Journal of Pharmaceutical Sciences. 59(9). 1356–1357. 1 indexed citations
17.
Haňka, L. J., L. M. Reineke, & David G. Martin. (1969). Biological Studies with α-Dehydrobiotin. Journal of Bacteriology. 100(1). 42–46. 10 indexed citations
18.
Haňka, L. J., et al.. (1966). Naturally Occurring Antimetabolite Antibiotic Related to Biotin. Science. 154(3757). 1667–1668. 22 indexed citations
19.
Garrett, Edward R. & L. J. Haňka. (1960). Psicofuranine: Correlation of Assay Methods in Acid Degradation Studies**Received November 23, 1959, from the Research Laboratories of The Upjohn Co., Kalamazoo, Mich.. Journal of the American Pharmaceutical Association (Scientific ed ). 49(8). 526–529. 3 indexed citations
20.
Melampy, R. M., et al.. (1957). The Effect of Progesterone on the Estrous Response of Estrogen-Conditioned Ovariectomized Cows. Journal of Animal Science. 16(4). 967–975. 32 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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