Louisa M.S. Gerhardt
- Immunology top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Surgery
- Co-authors
- Matthias NahrendorfFilip K. ŚwirskiYoshiko IwamotoRalph WeisslederIngo HilgendorfPeter LibbyGeorg F. WeberClinton S. Robbins
- Topics
- Renal and related cancers (5 papers)Heart Failure Treatment and Management (5 papers)Acute Kidney Injury Research (4 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Louisa M.S. Gerhardt
18 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 957
- Molecular Biology 677
- Cardiology and Cardiovascular Medicine 371
- Epidemiology 316
- Surgery 260
Countries citing papers authored by Louisa M.S. Gerhardt
This map shows the geographic impact of Louisa M.S. Gerhardt'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 Louisa M.S. Gerhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louisa M.S. Gerhardt more than expected).
Fields of papers citing papers by Louisa M.S. Gerhardt
This network shows the impact of papers produced by Louisa M.S. Gerhardt. 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 Louisa M.S. Gerhardt. The network helps show where Louisa M.S. Gerhardt may publish in the future.
Co-authorship network of co-authors of Louisa M.S. Gerhardt
This figure shows the co-authorship network connecting the top 25 collaborators of Louisa M.S. Gerhardt. A scholar is included among the top collaborators of Louisa M.S. Gerhardt 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 Louisa M.S. Gerhardt. Louisa M.S. Gerhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 33 | |
| 5 | 54 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 131 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 121 | |
| 15 | 107 | |
| 16 | Ly-6C high Monocytes Depend on Nr4a1 to Balance Both Inflammatory and Reparative Phases in the Infarcted Myocardiumbreakdown → | 439 |
| 17 | Local proliferation dominates lesional macrophage accumulation in atherosclerosisbreakdown → | 779 |
| 18 | 24 | |
| 19 | Decitabine (5-Aza-2'-deoxycytidine; DAC) plus daunorubicin as a first line treatment in patients with acute myeloid leukemia: preliminary observations. | 48 |
About Louisa M.S. Gerhardt
Louisa M.S. Gerhardt is a scholar working on Nephrology, Hematology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Heart Failure Treatment and Management (5 papers) and Acute Kidney Injury Research (4 papers). The work is most often cited by research in Immunology (957 citations), Nephrology (135 citations) and Cardiology and Cardiovascular Medicine (371 citations). Louisa M.S. Gerhardt has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Matthias Nahrendorf, Filip K. Świrski, Yoshiko Iwamoto, Ralph Weissleder, Ingo Hilgendorf, Peter Libby, Georg F. Weber, Clinton S. Robbins, Igor Theurl and Andrew P. McMahon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature 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.