This map shows the geographic impact of L G Koss'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 G Koss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L G Koss more than expected).
This network shows the impact of papers produced by L G Koss. 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 G Koss. The network helps show where L G Koss may publish in the future.
Co-authorship network of co-authors of L G Koss
This figure shows the co-authorship network connecting the top 25 collaborators of L G Koss.
A scholar is included among the top collaborators of L G Koss 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 G Koss. L G Koss is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schröder, F.H., Bernhard Tribukait, Alfred Böcking, et al.. (1994). Clinical utility of cellular DNA measurements in prostate carcinoma. 51–63.12 indexed citations
3.
Koss, L G & Bogdan Czerniak. (1992). Image analysis and flow cytometry of tumors of prostate and bladder; with a comment on molecular biology of urothelial tumors.. PubMed. 112–28.4 indexed citations
4.
Crosby, John H., et al.. (1991). Cytologic detection of urothelial cancer and other abnormalities in a cohort of workers exposed to aromatic amines.. PubMed. 35(3). 263–8.6 indexed citations
5.
Czerniak, Bogdan, Zbigniew Darżynkiewicz, F. Herz, Robert P. Wersto, & L G Koss. (1990). Flow cytometry in clinical oncology: cell cycle and DNA ploidy in assessing tumor behavior.. PubMed. 21(1). 3–9.6 indexed citations
6.
Cottler‐Fox, Michele, M. Lynch, H. Joachim Deeg, & L G Koss. (1989). Human polyomavirus: lack of relationship of viruria to prolonged or severe hemorrhagic cystitis after bone marrow transplant.. PubMed. 4(3). 279–82.23 indexed citations
Barber, Hugh R. K., William M. Christopherson, Alex Ferenczy, L G Koss, & K. Schreiber. (1985). Symposium on endometrial carcinoma. Classification, grading, and staging.. PubMed. 20 Pt 2. 507–58.3 indexed citations
10.
Sherman, Andrew B., L G Koss, Karen Schreiber, et al.. (1981). Bladder cancer diagnosis by image analysis of cells in voided urine using a small computer.. PubMed. 3(3). 239–49.11 indexed citations
11.
Koss, L G, et al.. (1981). Screening of asymptomatic women for endometrial cancer.. PubMed. 57(6). 681–91.30 indexed citations
12.
Domagała, W, Eugene E. Emeson, & L G Koss. (1981). T and B lymphocyte enumeration in the diagnosis of lymphocyte-rich pleural fluids.. PubMed. 25(2). 108–10.17 indexed citations
Domagała, W & L G Koss. (1980). Surface configuration of human tumor cells obtained by fine needle aspiration biopsy.. PubMed. 101–8.12 indexed citations
15.
Fromowitz, Frank B., et al.. (1980). Renal oncocytoma: preoperative diagnosis by aspiration biopsy.. PubMed. 24(4). 355–9.45 indexed citations
16.
Koss, L G, et al.. (1979). Eosinophilic pleural effusions.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 23(1). 40–4.25 indexed citations
17.
Koss, L G, et al.. (1979). Diagnostic cytologic sample profiles in patients with bladder cancer using TICAS system.. PubMed. 22(5). 392–7.29 indexed citations
Koss, L G. (1973). [The cytology of the urinary sediment as a contribution to the pathology of carcinoma of the urinary bladder (report) (author's transl)].. PubMed. 57. 138–43.1 indexed citations
20.
Hajdu, Stephen & L G Koss. (1969). Cytologic diagnosis of metastatic myosarcomas.. PubMed. 13(10). 545–51.18 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.