B. L. Milman

993 total citations
57 papers, 737 citations indexed

About

B. L. Milman is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, B. L. Milman has authored 57 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Spectroscopy and 11 papers in Biomedical Engineering. Recurrent topics in B. L. Milman's work include Metabolomics and Mass Spectrometry Studies (21 papers), Analytical Chemistry and Chromatography (12 papers) and Advanced Chemical Sensor Technologies (11 papers). B. L. Milman is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (21 papers), Analytical Chemistry and Chromatography (12 papers) and Advanced Chemical Sensor Technologies (11 papers). B. L. Milman collaborates with scholars based in Russia, United Kingdom and Germany. B. L. Milman's co-authors include Zeev B. Alfassi, P. Neta, Robert E. Huie, L A Konopelko, K. Heydorn, Alan Townshend, R.W. Stephany, Bernhard Lendl, Adolf Zschünke and B. Neidhart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

B. L. Milman

52 papers receiving 696 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
B. L. Milman 287 274 188 144 106 57 737
Mario Reta 108 0.4× 422 1.5× 235 1.3× 340 2.4× 84 0.8× 42 873
David Q. Liu 379 1.3× 664 2.4× 129 0.7× 241 1.7× 154 1.5× 40 1.2k
Renata Wietecha‐Posłuszny 239 0.8× 556 2.0× 302 1.6× 840 5.8× 238 2.2× 64 1.7k
Xiaoyi Gong 317 1.1× 738 2.7× 560 3.0× 402 2.8× 68 0.6× 52 1.4k
HU Chang-qin 344 1.2× 335 1.2× 154 0.8× 415 2.9× 132 1.2× 123 1.3k
Rolf Carlson 290 1.0× 195 0.7× 180 1.0× 150 1.0× 96 0.9× 101 1.4k
Alireza S. Kord 157 0.5× 516 1.9× 194 1.0× 376 2.6× 164 1.5× 23 829
Vincenzo Ferrone 88 0.3× 173 0.6× 88 0.5× 310 2.2× 92 0.9× 52 693
Wiebke Lohmann 250 0.9× 317 1.2× 140 0.7× 85 0.6× 24 0.2× 15 797

Countries citing papers authored by B. L. Milman

Since Specialization
Citations

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

Fields of papers citing papers by B. L. Milman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. L. Milman

This figure shows the co-authorship network connecting the top 25 collaborators of B. L. Milman. A scholar is included among the top collaborators of B. L. Milman 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 B. L. Milman. B. L. Milman 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.
Milman, B. L., et al.. (2024). Co-Citation of Co-Citations: Structuring the Subset of Scientific Documents Reflecting Modern Bibliometric Methods. Automatic Documentation and Mathematical Linguistics. 58(2). 87–94.
2.
Milman, B. L., et al.. (2024). Микро- и нанопластик. Абрис проблемы. 14(4). 328–337.
3.
Milman, B. L., et al.. (2023). Domain Delineation of an Emerging Field of Interdisciplinary Research Using Scientometric Methods: Case Study of Exposomics. Automatic Documentation and Mathematical Linguistics. 57(2). 104–110. 1 indexed citations
4.
Milman, B. L., et al.. (2023). A Chemical Space of Dangerous Substances. 7(2).
5.
Гусельникова, В. В., et al.. (2020). A Novel Method for Amyloid Detection in Human Tissue Load Using a Fluorescent Dye — Congo Red Analogue. Sovremennye tehnologii v medicine. 12(1). 65–65. 1 indexed citations
6.
Milman, B. L., et al.. (2020). Summarized criteria of chemical compounds identification using the chromatography-mass spectrometry. Analitika i kontrolʹ. 24(3). 164–173. 5 indexed citations
7.
Zharkova, Maria S., Maria Smirnova, V. N. Kokryakov, et al.. (2020). Caprine Bactenecins as Promising Tools for Developing New Antimicrobial and Antitumor Drugs. Frontiers in Cellular and Infection Microbiology. 10. 552905–552905. 18 indexed citations
8.
Milman, B. L., et al.. (2019). Isomer Differentiation Using in silico MS 2 Spectra. A Case Study for the CFM-ID Mass Spectrum Predictor. 10(3). 93–101. 6 indexed citations
9.
Zharkova, Maria S., et al.. (2018). EFFECTS OF PROLINE-RICH PEPTIDES OF THE INNATE IMMUNE SYSTEM ON DRUG-RESISTANT BACTERIAL STRAINS. Medical Immunology (Russia). 20(1). 107–114. 2 indexed citations
10.
Milman, B. L., et al.. (2015). A new approach to the depletion of albumin and immunoglobulin G from human serum. Applied Biochemistry and Microbiology. 51(3). 367–373. 1 indexed citations
11.
Milman, B. L., et al.. (2014). Characterization of fullerene derivatives by maldi lift-tof/tof mass spectrometry. Nanosystems Physics Chemistry Mathematics. 5(1). 1 indexed citations
12.
Milman, B. L.. (2005). Towards a full reference library of MS n spectra. Testing of a library containing 3126 MS 2 spectra of 1743 compounds. Rapid Communications in Mass Spectrometry. 19(19). 2833–2839. 27 indexed citations
13.
Milman, B. L. & L A Konopelko. (2004). Uncertainty of Qualitative Chemical Analysis: General Methodology and Binary Test Methods. Journal of Analytical Chemistry. 59(12). 1128–1141. 20 indexed citations
14.
Milman, B. L.. (2003). Cluster ions of diquat and paraquat in electrospray ionization mass spectra and their collision‐induced dissociation spectra. Rapid Communications in Mass Spectrometry. 17(12). 1344–1349. 16 indexed citations
15.
Alfassi, Zeev B., Robert E. Huie, B. L. Milman, & P. Neta. (2003). Electrospray ionization mass spectrometry of ionic liquids and determination of their solubility in water. Analytical and Bioanalytical Chemistry. 377(1). 159–164. 102 indexed citations
16.
Ros, Alberto, L.M.C. Buydens, K. Heydorn, et al.. (2003). Quality assurance of qualitative analysis in the framework of the European project ?MEQUALAN'. Accreditation and Quality Assurance. 8(2). 68–77. 55 indexed citations
17.
Milman, B. L. & L A Konopelko. (2000). Identification of chemical substances by testing and screening of hypotheses. Fresenius Journal of Analytical Chemistry. 367(7). 621–628. 17 indexed citations
18.
Milman, B. L., et al.. (2000). Identification of chemical substances by testing and screening of hypotheses. Fresenius Journal of Analytical Chemistry. 367(7). 629–634. 15 indexed citations
19.
Milman, B. L., et al.. (1999). Identification of chemical substances in analytical measurements. Accreditation and Quality Assurance. 4(5). 185–190. 5 indexed citations
20.
Weiss, M.S., B. L. Milman, Boaz D. Rosen, & Reuven Zimlichman. (1993). Quantitation of thyroid hormone effect on skin perfusion by laser Doppler flowmetry.. The Journal of Clinical Endocrinology & Metabolism. 76(3). 680–682. 16 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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