Ellen Heber‐Katz

7.5k citations
109 papers · 6.1k indexed · h-index 42
Topics
T-cell and B-cell Immunology (29 papers)Monoclonal and Polyclonal Antibodies Research (24 papers)Immunotherapy and Immune Responses (15 papers)

In The Last Decade

Ellen Heber‐Katz

107 papers receiving 5.8k citations

Peers

Ellen Heber‐Katz
Comparison fields: 5 of 133
  • Immunology 2.2k
  • Molecular Biology 1.8k
  • Surgery 1.2k
  • Radiology, Nuclear Medicine and Imaging 835
  • Biomaterials 709
Replace Daniel R. Twardzik with:
Daniel R. Twardzik United States
Roland Moll Germany
Arthur I. Roberts United States
Fulvio Mavilio Italy
Jürgen Roes United Kingdom
E. Birgitte Lane United Kingdom
Jerome M. Seyer United States
Yoshihiko Yamada United States
Takahiro Kunisada Japan
Ulríke Mayer Germany
Ellen Heber‐Katz relative to Daniel R. Twardzik United States Daniel R. Twardzik's profile →
Citations per field
00.5×4.7×
Daniel R. Twardzik · 1×
Citations per year

Countries citing papers authored by Ellen Heber‐Katz

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Heber‐Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen Heber‐Katz. 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 Ellen Heber‐Katz. The network helps show where Ellen Heber‐Katz may publish in the future.

Co-authorship network of co-authors of Ellen Heber‐Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen Heber‐Katz. A scholar is included among the top collaborators of Ellen Heber‐Katz 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 Ellen Heber‐Katz. Ellen Heber‐Katz 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
#WorkIndexed citations
1 6
2 2
3 54
4 156
5 43
6 157
7 19
8 12
9 15
10 49
11 36
12 49
13 59
14 2
15 4
16 213
17 82
18 145
19 39
20 67

About Ellen Heber‐Katz

Ellen Heber‐Katz is a scholar working on Immunology, Rehabilitation and Radiology, Nuclear Medicine and Imaging, having authored 109 papers that have together received 6.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (29 papers), Monoclonal and Polyclonal Antibodies Research (24 papers) and Immunotherapy and Immune Responses (15 papers). The work is most often cited by research in Immunology (2.2k citations), Rehabilitation (450 citations) and Biomaterials (709 citations). Ellen Heber‐Katz has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Lise Clark, Khamilia Bedelbaeva, Dmitri Gourevitch, John Leferovich, Xiangming Zhang, Robert Clark, Hans Acha‐Orbea, Bernhard Dietzschold, Robert E. Click and Hilary Koprowski. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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